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Channel

Терапия: Созвездие

@progressivnyj_klinicist

On this record: Topic · Observations · Channels linked by matching posts · Growth · Engagement · What this channel posts · Reactions · Posts · Polls · Citations · Telegram's recommendations · Cite this entry

10,824subscribers

-298 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1001636327113
TypeChannel
Username@progressivnyj_klinicist
Description✅ Все специальные предложения на наши курсы найдете по ссылке https://clck.ru/3U5cyC Мы в ВК: https://vk.com/dsktherapy Мы в МАХ: https://max.ru/progressivnyj_klinicist Регистрация канала https://clck.ru/3Fr8tn № 4938292353 #H
Created17 April 2022 — measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded7 August 2026
Last confirmed live10 November 2026
Measurements held60
Confirmed unchanged1 time, most recently 10 November 2026
On Telegramt.me/progressivnyj_klinicist

Topic

Education — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 10 August 2026 and assigned it the closest of 31 fixed categories, at 94% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and the other topics.

Observations

These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.

Content that also appears on other registered channels

Posts published here appear in near-verbatim form on 7 other registered channels. This entry also sits inside a group of 6 channels linked by matching posts, directly or through other channels in the group; two members of the group may share no posts with each other. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.

Matching posts — open both and compare (6 of the pairs behind the counts below)
Posted firstThenOverlapGap
@progressivnyj_klinicist/8919 · this entry1 Aug 2026, 11:47 UTC@gastro_dsk/29141 Aug 2026, 11:48 UTC1.0072 seconds
@progressivnyj_klinicist/8923 · this entry4 Aug 2026, 15:43 UTC@gastro_dsk/29184 Aug 2026, 15:43 UTC1.00under a minute
@gastro_dsk/29337 Aug 2026, 14:00 UTC@progressivnyj_klinicist/8938 · this entry7 Aug 2026, 14:01 UTC1.00under a minute
@progressivnyj_klinicist/8957 · this entry10 Aug 2026, 14:45 UTC@gastro_dsk/295310 Aug 2026, 15:01 UTC1.0016 minutes
@progressivnyj_klinicist/8960 · this entry11 Aug 2026, 11:10 UTC@gastro_dsk/295511 Aug 2026, 11:11 UTC1.00under a minute
@gastro_dsk/296211 Aug 2026, 15:45 UTC@progressivnyj_klinicist/8966 · this entry11 Aug 2026, 15:45 UTC1.00under a minute
Channels this entry shares post bodies with, where at least one matching post pair has no forward credit between the two channels, or to a common source, recorded in our data
ChannelMatching postsText overlapTypical gapPublished first
@gastro_dsk34 (8/8 hand-verifiable sample passed)1.00under a minutethis entry (22–12)
@cardio_fd_dsc16 (8/8 hand-verifiable sample passed)1.002 minutesthis entry (9–7)
@progressive_pediatrician15 (8/8 hand-verifiable sample passed)1.0061 minutesthis entry (10–5)
@endo_docstarclub11 (8/8 hand-verifiable sample passed)1.00under a minutethis entry (6–5)
@hemostasiology_dsc11 (8/8 hand-verifiable sample passed)1.00under a minutethis entry (6–5)
@dsc_all10 (8/8 hand-verifiable sample passed)1.004 minutes@dsc_all (9–1)
@sozvezdie_ano10 (8/8 hand-verifiable sample passed)1.005 minutes@sozvezdie_ano (8–2)

Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp — in this corpus, which is the limitation directly below.

What this cannot establish

MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.

Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. 33 of the 51 matches recorded here fall after that date and carried no header when we read them. The rest predate reliable capture and are not evidence either way.

“Published first” means first in this corpus. We hold 110 comparable posts for this entry, running 1 August 2026 to 11 November 2026. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.

The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.

  • Verbatim republication has three causes and the text separates only two: a clone/mirror, unattributed copy-paste, or BOTH channels copying a common third source that neither attributes. The spread filter (content held by at most 8 channels) reduces the third and does not remove it.
  • 'Earliest' means earliest IN THIS CORPUS. A channel ingested one page deep will look younger than a neighbour ingested in full; corpus_coverage above is there to be checked before the direction is believed.
  • shared_verified_est extrapolates the sampled pass rate over the full narrow match count; sampled/passed are the numbers actually measured.
  • Absence of a forward header is not proof of intent: Telegram lets a channel disable forward attribution, and a credit written in the body is not parsed as attribution here (mention_edge_either_way above is the closest available signal).

Of the group of 6 channels, the one whose matching posts we hold earliest is @progressivnyj_klinicist — which is this entry. That is a statement about our reading window, not a claim of authorship.

Recorded under the keys clone_copy · clone_mutual · clone_source, last confirmed 12 November 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.

Channels linked by matching posts

This channel is in a group of 6 registered channels linked by matching posts, directly or through other channels in the group. This channel may share no posts with some of the channels listed below, and listed channels may share none with each other. Links are found by comparing text fingerprints across every channel on the register.

Which channel, if either, published first is deliberately not shown in this list. “First” could only mean first in our own crawl, which depends on how deep we happened to reach into each channel’s history, not on when the content was actually first posted. Our one hand-check read 45 of the highest-confidence flagged pairs against the live Telegram pages. In 18 of them the live page showed a “Forwarded from” credit that our database had no record of, so reading that pair as an unattributed copy was wrong; the check did not measure who published first. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Near-verbatim matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.

Growth

10,82411,12210,9737 August 2026 — 11,122 subscribers7 August 2026 — 11,122 subscribers8 August 2026 — 11,119 subscribers9 August 2026 — 11,115 subscribers10 August 2026 — 11,110 subscribers11 August 2026 — 11,105 subscribers14 August 2026 — 11,101 subscribers16 August 2026 — 11,099 subscribers17 August 2026 — 11,097 subscribers18 August 2026 — 11,092 subscribers19 August 2026 — 11,087 subscribers20 August 2026 — 11,086 subscribers21 August 2026 — 11,079 subscribers23 August 2026 — 11,077 subscribers24 August 2026 — 11,065 subscribers25 August 2026 — 11,063 subscribers26 August 2026 — 11,062 subscribers27 August 2026 — 11,059 subscribers28 August 2026 — 11,050 subscribers29 August 2026 — 11,045 subscribers30 August 2026 — 11,043 subscribers31 August 2026 — 11,036 subscribers1 September 2026 — 11,030 subscribers2 September 2026 — 11,024 subscribers4 September 2026 — 11,016 subscribers6 September 2026 — 11,009 subscribers9 September 2026 — 10,991 subscribers11 September 2026 — 10,978 subscribers13 September 2026 — 10,974 subscribers15 September 2026 — 10,970 subscribers17 September 2026 — 10,966 subscribers19 September 2026 — 10,963 subscribers26 September 2026 — 10,939 subscribers4 October 2026 — 10,907 subscribers9 October 2026 — 10,895 subscribers13 October 2026 — 10,894 subscribers14 October 2026 — 10,890 subscribers15 October 2026 — 10,888 subscribers16 October 2026 — 10,885 subscribers17 October 2026 — 10,880 subscribers18 October 2026 — 10,878 subscribers19 October 2026 — 10,873 subscribers22 October 2026 — 10,871 subscribers23 October 2026 — 10,868 subscribers24 October 2026 — 10,869 subscribers25 October 2026 — 10,868 subscribers26 October 2026 — 10,866 subscribers27 October 2026 — 10,862 subscribers28 October 2026 — 10,858 subscribers29 October 2026 — 10,853 subscribers30 October 2026 — 10,849 subscribers1 November 2026 — 10,846 subscribers2 November 2026 — 10,842 subscribers3 November 2026 — 10,841 subscribers4 November 2026 — 10,837 subscribers5 November 2026 — 10,834 subscribers6 November 2026 — 10,833 subscribers7 November 2026 — 10,832 subscribers8 November 2026 — 10,831 subscribers10 November 2026 — 10,824 subscribers7 August 202610 November 2026
60 measurements spanning 95 days, net -298. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 10,779–11,167 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 60
Measured (UTC)SubscribersChange
10 Nov 2026, 06:4510,824-7
8 Nov 2026, 17:3710,831-1
7 Nov 2026, 12:2510,832-1
6 Nov 2026, 14:3510,833-1
5 Nov 2026, 10:5710,834-3
4 Nov 2026, 14:1110,837-4
3 Nov 2026, 13:2810,841-1
2 Nov 2026, 16:3610,842-4
1 Nov 2026, 13:5810,846-3
30 Oct 2026, 17:5510,849-4
29 Oct 2026, 18:3710,853-5
28 Oct 2026, 21:3710,858-4
27 Oct 2026, 02:0710,862-4
26 Oct 2026, 00:1810,866-2
25 Oct 2026, 02:0710,868-1
24 Oct 2026, 03:0610,869+1
23 Oct 2026, 02:5110,868-3
22 Oct 2026, 00:0010,871-2
19 Oct 2026, 19:2910,873-5
18 Oct 2026, 21:2010,878first reading

Engagement

140 posts held, back to 31 July 2026 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 59 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
1.91%
avg views ÷ 10,824 subscribers
Avg views / post
207
32 posts measured
Reaction rate
1.68%
reactions ÷ views · ER floor
Posts in window
33
of 140 held

ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.

ER is defined industry-wide as (forwards + reactions + comments) ÷ views — note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate. It is computed over the 15 of 32 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 12 November 2026
Posts held140 (31 July 2026 – 12 November 2026)
Views total6,625
Reactions total59
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Nov 2026, 10:10 UTC

Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than “correcting” the number into something nobody can reproduce.

Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.

Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.

What this channel posts

Photos
≈3,070
Videos
≈470
Links
≈1,950

Lifetime counters from Telegram’s own channel header, read 12 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.

Video runtime
8m 13s
Average length
49s

Measured directly from 10 videos with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no ≈ mark.

Reaction mix

129 reactions across 44 posts, in 6 distinct kinds. The most used accounts for 41.9% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤5441.9%
👍3930.2%
🔥3325.6%
🏆10.775%
😁10.775%
😐10.775%

No sentiment is inferred, and none should be read in. This table is ordered by count and by nothing else. Emoji do not carry stable meaning across languages or communities — 🙏 is thanks in one channel and mourning in another — so we publish which ones were pressed and how often, and pass no judgement on what an audience meant by them.

Precision. Telegram publishes reaction counts per emoji and short-forms each one — 4.34K, 1.2M — so any single kind at or above 1,000 reaches us at three significant figures, and only counts below 1,000 are exact. The shares above are ratios of those figures and carry the same error. This is also why the total here can differ slightly from a reaction total printed elsewhere on the page: both are sums of the same rounded parts, taken over samples with different edges.

Coverage. Reactions were read on 52 of the 140 sampled posts in this sample. Summed by Telegram’s own count on each post — not by adding up the per-emoji breakdown above — those same posts carry 129 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 140 most recent posts we hold, published 31 July 2026 to 12 November 2026, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.

Recent posts

Telegram’s own ‘edited’ marker: 5 of 33 posts held from the last 30 days (15.2%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).

12 Nov 2026, 06:17 UTC65 views4 reactionsread 12 November 2026
Photo

✨ Вчера мы впервые представили новую философию обучения врачей. И это только начало! Мы много лет учили врачей диагностировать заболевания, назначать лечение, разбираться в клинических рекомендациях. Но сегодня перед медициной стоят новые задачи. Как помочь пациенту не просто получить назначения, а действительно изменить свою жизнь? Как перейти от разовых советов к системной работе с образом жизни? Как врачу увиде…

🔥2❤1👍1

11 Nov 2026, 18:12 UTC136 viewsread 12 November 2026

Прекратите бесплатно отвечать пациентам в 23.00 и начните вести их по плану. «Доктор, а что мне можно есть?» «Можно я пришлю меню?» Такие вопросы приходят в 22.00, в выходной, между пациентами. Это тоже консультации. Только у них нет структуры и цены, поэтому они остаются бесплатными. 🆕 «Гиппократия» — новая программа Академии. Учим вести пациента к изменениям образа жизни и оформлять эту работу в отдельную услугу.…

11 Nov 2026, 14:57 UTC135 viewsread 12 November 2026

Почему пациент пропускает приём лекарств? И почему он может быть не готов платить за консультацию? Полтора года назад на одном из тренингов я впервые смогла для себя ответить на оба вопроса. С тех пор я много читала, разбиралась, какие из моих выводов подтверждаются исследованиями. Постепенно сложился подход, который я смогла проверить на своих консультациях. Работает ли он? В моей практике - да. И теперь я готова …

11 Nov 2026, 14:11 UTC113 viewsread 12 November 2026

Я волнуюсь перед сегодняшним вебинаром. Думаю, как поговорить с коллегами о двух вещах, которые в практике всё время пересекаются. Как провести приём, чтобы пациент услышал врача? Чтобы дома он понимал, как принимать лекарства и что именно можно изменить в своём распорядке. И мог ещё на приёме сказать, если какая-то рекомендация ему не по силам. А второй вопрос про время самого врача. У нас хорошо работает сарафанн…

11 Nov 2026, 14:00 UTC112 viewsread 12 November 2026
Photo

⏰ Через час начинаем: пособия и розыгрыш курсов Через час начинаем вебинар «Консультации не бесплатно». В 18:00 мск разберём, как оформить консультирование по образу жизни в отдельную услугу: структуру, роль наставника, стоимость и границы. Участникам эфира — 13 пособий «Докстарклаб» и розыгрыш обучения на курсах. До встречи в 18:00.

11 Nov 2026, 09:19 UTC148 viewsread 12 November 2026
Video

Коллеги, знакомо? После смены отвечаете на «Доктор, я переживаю», а через пару сообщений уже разбираете анализы. Где заканчивается поддержка и начинается консультация? Уже сегодня, 11 ноября, в 18:00 мск, бесплатный онлайн-вебинар «Консультации не бесплатно». На эфире обсудим, за что отвечает врач и как сделать консультации по образу жизни отдельной платной услугой. Разберём, как назвать цену, ответить на «вы же в…

10 Nov 2026, 18:00 UTC202 viewsread 12 November 2026
Video

«Статины - зло, я их принимать не буду». Врач объясняет, приводит данные, а пациент закрывается. У такой реакции есть причина: в голове у пациента включаются темы ответственности и дефективности, они меняют его отношение к здоровью и к рекомендациям. Александра Демкина собрала чек-лист клинических тем для врачей. Она адаптировала его из EMDR-терапии и четыре года изучала психологию, чтобы перевести её на медицински…

10 Nov 2026, 10:19 UTC206 views2 reactionsread 12 November 2026

Вы консультируете пациента 20 минут. А потом ещё месяц отвечаете на его вопросы бесплатно. Знакомая ситуация? Пациент присылает дневник давления. Просит оценить результаты анализов. Уточняет, можно ли увеличить физическую нагрузку. Спрашивает, как отказаться от курения. Каждый вопрос требует врачебных знаний, времени и профессиональной ответственности. Но часто эта работа остаётся за пределами оплаченного приёма.…

❤2

9 Nov 2026, 11:25 UTC217 views10 reactionsread 12 November 2026
Photo

«Доктор, а можно я вам потом напишу?» Знакомая фраза? Вы закончили приём. Назначили лечение, обсудили питание, физическую активность, отказ от курения. А через два дня пациент пишет: «Доктор, я начал ходить по вечерам, но у меня появилась одышка. Продолжать?» Через неделю: «Посмотрите, пожалуйста, мой дневник давления». Ещё через три дня: «А можно я пришлю вам анализы?» И вот вы уже консультируете пациента в…

❤4👍3🔥3

8 Nov 2026, 11:20 UTC220 views7 reactionsread 12 November 2026

Почему «бросайте курить» иногда недостаточно? Вернёмся к утреннему пациенту. Он знает о рисках курения, но продолжает курить. Значит ли это, что врач плохо объяснил рекомендации? Не обязательно. Никотиновая зависимость не сводится к недостатку информации или силы воли. Краткий совет врача отказаться от курения доказанно повышает вероятность успешного отказа. Но многим пациентам требуется дополнительная помощь. Чт…

👍6❤1

Showing the 12 most recent of 140 posts we hold for @progressivnyj_klinicist. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked ≈ was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.

Polls

The 6 most recent of 7 polls we hold for this entry, as Telegram rendered them when we read the post. A poll’s figures keep moving after that, so each one is dated.

10 Aug 2026, 13:46 UTCAnonymous Quiz41 voters

Что на ЭКГ?

  1. АВ-блокада 2 степени2%
  2. Синусовая тахикардия7%
  3. Одиночная желудочковая экстрасистолия90%

Shares as published, totalling 99%. No per-option vote count is published by Telegram, so none is shown.

10 Aug 2026, 13:33 UTCAnonymous Quiz42 voters

Что на ЭКГ?

  1. Синусовый ритм74%
  2. Трепетание предсердий5%
  3. Предсердная тахикардия21%

Shares as published. No per-option vote count is published by Telegram, so none is shown.

10 Aug 2026, 13:16 UTCAnonymous Quiz42 voters

Что на ЭКГ?

  1. АВУРТ ( по записи точно не скажем - пароксизмальная тахикардия с узкими QRS)83%
  2. Фибрилляция предсердий10%
  3. Синдром Вольфа-Паркинсона-Уайта7%

Shares as published. No per-option vote count is published by Telegram, so none is shown.

10 Aug 2026, 13:00 UTCAnonymous Quiz39 voters

1. Что на ЭКГ?

  1. АV- ритм с наджелудочковой экстрасистолой33%
  2. Фибрилляция предсердий67%
  3. АВ-блокада 1 степени0%

Shares as published. No per-option vote count is published by Telegram, so none is shown.

9 Aug 2026, 12:53 UTCAnonymous Quiz38 voters

Что на ЭКГ №3?

  1. Полная блокада правой ножки пучка Гиса50%
  2. Неполная блокада правой ножки пучка Гиса39%
  3. Блокада передней ветви левой ножки пучка Гиса11%

Shares as published. No per-option vote count is published by Telegram, so none is shown.

9 Aug 2026, 11:15 UTCAnonymous Quiz56 voters

Что на ЭКГ №2?

  1. Полная блокада правой ножки пучка Гиса9%
  2. Полная блокада левой ножки пучка Гиса84%
  3. Блокада задней ветви левой ножки пучка Гиса7%

Shares as published. No per-option vote count is published by Telegram, so none is shown.

Percentages only — there are no per-option vote counts here, because Telegram publishes none. The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.

The shares need not add up to 100. Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.

Read from the 140 most recent posts we hold, published 31 July 2026 to 12 November 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.

Mentions

Names

Channels on the register whose handles appear in this channel's posts.

A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.

Appears in Telegram’s recommendations for other channels

The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.

Доктор В.К. Зафираки
@drzafiraki · 19,270
Telegram ranks this channel #23 of 94 here — alongside 93 others — read 3 October 2026
Клинфарм замес | Евгений Никитин
@tgnikitin · 44,085
Telegram ranks this channel #25 of 87 here — alongside 86 others — read 28 August 2026
Профессия – кардиолог
@profcardiologist · 20,937
Telegram ranks this channel #27 of 95 here — alongside 94 others — read 26 September 2026
dnevnikdoctora
@dnevnikdoctora · 45,187
Telegram ranks this channel #28 of 98 here — alongside 97 others — read 27 August 2026
Нефролог I Данила Пыриков
@pyrikov · 67,021
Telegram ranks this channel #28 of 98 here — alongside 97 others — read 20 August 2026
MD.school | Медицинский онлайн-университет | Доказательная медицина
@medicina_discendi · 21,232
Telegram ranks this channel #30 of 98 here — alongside 97 others — read 25 September 2026
Гастроэнтеролог Лопатина М.В.
@gastrogram · 36,876
Telegram ranks this channel #30 of 99 here — alongside 98 others — read 1 September 2026
Кардиолог Новикова Диана Сергеевна
@cardiolognovikova · 24,353
Telegram ranks this channel #31 of 96 here — alongside 95 others — read 15 September 2026
Юрист для врача Ангелина Романовская
@mfcexpert_news · 29,908
Telegram ranks this channel #32 of 96 here — alongside 95 others — read 8 September 2026
Гастроэнтеролог ХАРИТОНОВ Андрей Геннадьевич
@ag_kharitonov · 58,836
Telegram ranks this channel #39 of 99 here — alongside 98 others — read 22 August 2026
Креативная кардиология - CARDIOGRAM
@cardiogram_uz · 21,115
Telegram ranks this channel #40 of 91 here — alongside 90 others — read 24 September 2026
new Кардиология
@cardiology_info · 19,242
Telegram ranks this channel #41 of 88 here — alongside 87 others — read 5 October 2026
Blog Kardiologa 🩺
@blog_kardiologa · 138,292
Telegram ranks this channel #54 of 96 here — alongside 95 others — read 13 August 2026
Профессия – педиатр
@profpediatrician · 19,650
Telegram ranks this channel #65 of 98 here — alongside 97 others — read 1 October 2026
Газовый гигант (ibs.doc)🪐
@ibs_doc · 21,762
Telegram ranks this channel #66 of 100 here — alongside 99 others — read 23 September 2026
Справочник педиатра
@pediatrhelp · 19,272
Telegram ranks this channel #68 of 92 here — alongside 91 others — read 2 October 2026

This channel appears in 16 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.

Cite this entry

A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 10 November 2026 — this entry's latest reading, not the date you are reading this.

“Терапия: Созвездие” (@progressivnyj_klinicist), 10,824 subscribers as measured 10 November 2026. Telegram Register, tgregister.com/channel/progressivnyj_klinicist.

Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV · JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.