27 лет практики • 20 000+ пациентов
Помогаю восстановить здоровье и гормональный фон, пройти через онкологию без паники, сохранить долголетие. Автор курсов «Меню жизни» и «Функциональная онкология»
💬 Курсы и консультация — https://taplink.cc/dockorolev
Created
Between 1 December 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
Health & wellness — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 12 September 2026 and assigned it the closest of 31 fixed categories, at 100% 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.
Growth
23 measurements spanning 89 days, net +15. 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 7,601–7,643 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 23
Measured (UTC)
Subscribers
Change
4 Nov 2026, 11:56
7,631
+5
1 Nov 2026, 21:20
7,626
-3
29 Oct 2026, 20:35
7,629
-7
26 Oct 2026, 18:45
7,636
+10
23 Oct 2026, 17:21
7,626
-3
20 Oct 2026, 23:49
7,629
+3
17 Oct 2026, 15:38
7,626
-2
14 Oct 2026, 15:37
7,628
-10
11 Oct 2026, 05:02
7,638
+9
5 Oct 2026, 09:19
7,629
+2
27 Sept 2026, 12:16
7,627
+19
18 Sept 2026, 11:36
7,608
-1
14 Sept 2026, 05:01
7,609
-7
4 Sept 2026, 22:38
7,616
+3
1 Sept 2026, 05:13
7,613
+5
26 Aug 2026, 11:28
7,608
-3
23 Aug 2026, 21:05
7,611
+1
20 Aug 2026, 03:06
7,610
+4
16 Aug 2026, 20:53
7,606
-10
13 Aug 2026, 09:35
7,616
first reading
Engagement
62 posts held, back to 28 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 25 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
10.5%
avg views ÷ 7,631 subscribers
Avg views / post
804
21 posts measured
Reaction rate
1.96%
reactions ÷ views · ER floor
Posts in window
21
of 62 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 18 of 21 measured posts that carry a reaction reading, and over those same posts' views.
What these figures were computed from
Window
Rolling 30 days · latest post in window 6 November 2026
Posts held
62 (28 July 2026 – 6 November 2026)
Views total
16,874
Reactions total
281
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
7 Nov 2026, 01:44 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
≈1,410
Videos
≈208
Links
≈435
Lifetime counters from Telegram’s own channel header, read 7 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
3m 04s
Average length
1m 32s
Measured directly from 2 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
1,502 reactions across 55 posts, in 13 distinct kinds. The most used accounts for 52.7% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
791
52.7%
🔥
362
24.1%
👍
134
8.92%
✍
78
5.19%
💯
63
4.19%
⚡
37
2.46%
👏
15
0.999%
🤝
9
0.599%
🙏
6
0.399%
🤔
3
0.2%
👨💻
2
0.133%
🏆
1
0.067%
🤩
1
0.067%
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 55 of the 62 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 1,502 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 62 most recent posts we hold, published 28 July 2026 to 6 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: 3 of 21 posts held from the last 30 days (14.3%) 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).
Когда ошибается не пациент и не врач, а сам метод 🤔
Про «сдавать утром натощак» знают все. А вот пять ситуаций, в которых анализ сдан идеально, а цифра всё равно врёт 👇🏻
1️⃣ Эстрадиол у пациентки на фулвестранте. Это моё онкологическое. Фулвестрант по строению похож на эстрадиол, и иммуноанализ его «видит». В бланке — высокий эстрадиол, и врач делает вывод, что у женщины сохранена функция яичников. И меняет схему л…
Разбор клинической загадки 🩺
▫️HbA1c — это не «сахар за три месяца». Это сахар, умноженный на возраст эритроцитов. Меняется срок жизни клеток — меняется и цифра
🙋🏻♂️У него после кровопотери и переливания в крови молодые и чужие эритроциты. Они просто не успели накопить глюкозу. HbA1c занижен. А глюкоза 6,6 натощак, талия 104 — это уже серьёзно. Ему нужен глюкозотолерантный тест
🙋🏼♀️У неё обратная ситуация. При ж…
Полгода вне профессии: мой путь через выгорание и возвращение в медицину 🩺
В интервью программе «Лидеры здравоохранения» в Самаре я рассказал о решении, которое разделило мою профессиональную жизнь на два этапа. После многих лет клинической работы я ушёл из медицины, не планируя возвращаться
🧑🏻⚕️К тому моменту за моими плечами были экстренная урология и руководство отделением онкоурологии. Зарубежные стажировки, с…
Гликированный гемоглобин 5,4% и 6,1%. У кого диабет? 🤔
Коллеги, загадка. Два пациента, обоим по 52 года
🙋🏻♂️Он. ИМТ 27, талия 104 см. Три месяца назад — желудочное кровотечение на фоне НПВП и две дозы эритроцитарной массы. HbA1c — 5,4%. Глюкоза натощак — 6,6 ммоль/л
🙋🏼♀️Она. ИМТ 23, талия 78 см. Обильные менструации из-за миомы, ферритин 6 нг/мл. HbA1c — 6,1%. Глюкоза натощак — 5,0 ммоль/л
По бланку всё очевидн…
Биологический возраст: что на самом деле говорят наши анализы?
Сегодня на вебинаре выяснили, почему у двух женщин одного возраста разница в биологическом возрасте может составлять 26 лет, хотя все анализы в норме!
Разобрали 9 лабораторных показателей, скрытые взаимосвязи в организме и научные подходы к замедлению старения.
А 18–22 ноября идём глубже - на практический интенсив «Сеть, а не ось»!
Знакомая для всех си…
Что для вас сложнее всего в оценке гормональных нарушений ❔
Правильно прочитать анализы18%
Увидеть связь между осями47%
Решить, с чего начать коррекцию65%
Оценить динамику лечения7%
The shares total 137%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not shown.
Коллеги, готовлю материал к вебинару и хочу разобрать то, что действительно вызывает трудности в практике
Проголосуйте и напишите в комментариях свой самый трудный вопрос. Самые частые разберу в эфире 🤝🏻
Здоровья Вам и Вашим близким!
Ваш доктор Королёв
📆 7 ноября в Москве приглашаю вас на закрытый практикум по разбору кейсов. Проведу его вместе с коллегами — превентивными врачами из эндокринологии, гинекологии и дерматологии
Будем разбирать ситуации, в которых важно сопоставить несколько жалоб, определить приоритеты и понять, кого из специалистов подключить к работе. Приглашаю врачей, нутрициологов и помогающих специалистов, которым нужны практика, профессиональны…
Уже 4 ноября встречаемся на вебинаре «Как управлять биологическим возрастом» 🩺
Разберём, как оценивать состояние организма комплексно и какие показатели действительно важны.
Успейте зарегистрироваться, участие бесплатное!
👉🏻ЗАРЕГИСТРИРОВАТЬСЯ
Здоровья Вам и Вашим близким!
Ваш доктор Королёв
Пермь, встречаемся 5 ноября!
Нарушения сна, усталость, изменения веса - как разобраться в сочетании этих жалоб и определить дальнейшую тактику ❔
Приглашаю на офлайн-практикум по эндокринологии и сомнологии с разбором клинических кейсов
5 ноября | 15:00–18:00 | Пермь
💡За три часа разберём путь от жалоб и анамнеза до диагностических гипотез и маршрута пациента
На практикуме вы сможете:
▪️ Разобрать ход клинически…
Биологический возраст: что мы на самом деле оцениваем ❔
Два человека могут быть ровесниками, но иметь совершенно разное самочувствие, уровень активности и состояние здоровья. Паспортный возраст не даёт полной картины. Но и пытаться определить биологический возраст по одному анализу неправильно ✖️
🩺 Я рассматриваю состояние человека комплексно: учитываю жалобы, анамнез, обменные процессы, гормональную регуляцию, сон…
❤12
Showing the 12 most recent of 62 posts we hold for @dockorolev_channel. 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.
Posts edited after publishing
@dockorolev_channel edited 1 post after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
First edit seen
25 August 2026
Most recent edit
25 August 2026
Posts recorded as deleted after publishing
We recorded 3 posts on @dockorolev_channel as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.
A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.
First seen missing
5 November 2026
Most recent seen missing
5 November 2026
Median time before seen missing
14 hours
Seen missing in the last 30 days
3
Polls
The 6 most recent of 8 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.
Что для вас сложнее всего в оценке гормональных нарушений ❔
Правильно прочитать анализы18%
Увидеть связь между осями47%
Решить, с чего начать коррекцию65%
Оценить динамику лечения7%
The shares total 137%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not shown.
The shares total 102%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not shown.
The shares total 110%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not shown.
Что сильнее всего повышает попадание LPS в кровь ПОСЛЕ еды?
Фруктоза29%
Алкоголь24%
Жирная пища (особенно насыщенный жир)58%
Клетчатка0%
The shares total 111%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not shown.
Какой маркер вы закажете ПЕРВЫМ при подозрении на тихое воспаление?
hs-CRP (высокочувствительный СРБ)61%
Ферритин14%
СОЭ23%
IL-65%
НЛР (нейтрофилы / лимфоциты из общего анализа)16%
The shares total 119%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not 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 62 most recent posts we hold, published 28 July 2026 to 6 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.
Forward network
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.
Mentions
Named by 1 registered channel — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it.
Named by
Channels on the register whose posts name this channel's handle.
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 · 19,243 Telegram ranks this channel #2 of 94 here — alongside 93 others — read 3 October 2026
Evstigneeva_gastro @evstigneeva_gastro · 19 Telegram ranks this channel #2 of 92 here — alongside 91 others — read 11 September 2026
Здоровье и не только с Мариной Внуковой @mn_vnukova · 21,672 Telegram ranks this channel #6 of 95 here — alongside 94 others — read 25 September 2026
Gastrosmile🌱Гастросмайл🌱Венера Хабирова🌱Интегративный Гастроэнтеролог @gastrosmile · 40,989 Telegram ranks this channel #9 of 93 here — alongside 92 others — read 29 August 2026
ДЕТОКСКАФА @detoxkafa · 27,268 Telegram ranks this channel #11 of 87 here — alongside 86 others — read 11 September 2026
Путь долгожителя @AgeManagment · 21,300 Telegram ranks this channel #15 of 92 here — alongside 91 others — read 24 September 2026
ДОКТОР ЭЛЯ @dzhobavaeliso · 32,021 Telegram ranks this channel #18 of 88 here — alongside 87 others — read 6 September 2026
Доктор Владимир Попов | detsdoc @detsdoc · 58,280 Telegram ranks this channel #21 of 91 here — alongside 90 others — read 22 August 2026
UniProf для врачей @uniprof_med · 31,744 Telegram ranks this channel #23 of 93 here — alongside 92 others — read 5 September 2026
Доктор Павлов @doc_gastro_life · 77,492 Telegram ranks this channel #23 of 94 here — alongside 93 others — read 19 August 2026
Дадали В.А. Школа здоровья @putkzdoroviyu · 34,165 Telegram ranks this channel #24 of 89 here — alongside 88 others — read 6 September 2026
Мигрень СТОП @migreni_stop · 19,482 Telegram ranks this channel #26 of 92 here — alongside 91 others — read 1 October 2026
Leonov chef @leonovchef · 51,021 Telegram ranks this channel #26 of 92 here — alongside 91 others — read 25 August 2026
Доктор Егоров @doctorilyaegorov · 32,865 Telegram ranks this channel #29 of 92 here — alongside 91 others — read 4 September 2026
АНЧА БАРАНОВА @anchabaranova · 35,880 Telegram ranks this channel #29 of 98 here — alongside 97 others — read 2 September 2026
Юсипова - системная медицина! @yusipovacom · 54,562 Telegram ranks this channel #29 of 89 here — alongside 88 others — read 24 August 2026
UNA.TUNA @unatuna22 · 42,598 Telegram ranks this channel #31 of 80 here — alongside 79 others — read 29 August 2026
Олеся Ревеко | Нутрициолог @olesya_reveko1 · 42,341 Telegram ranks this channel #31 of 88 here — alongside 87 others — read 28 August 2026
Ирина Шиманская Holistica @tibetdoc · 78,900 Telegram ranks this channel #32 of 96 here — alongside 95 others — read 18 August 2026
Клиника Калинченко @kalinchenko_dlya_pacientov · 40,777 Telegram ranks this channel #35 of 91 here — alongside 90 others — read 30 August 2026
Химия Пищи/Биохакинг/ А.Родионова @ximiya_tasya_ro · 24,180 Telegram ranks this channel #37 of 93 here — alongside 92 others — read 16 September 2026
МИФИМ ИНСТИТУТ НУТРИЦИОЛОГИИ @zubareva_onlinee · 20,084 Telegram ranks this channel #44 of 89 here — alongside 88 others — read 27 September 2026
Первая Школа Биохакинга | Здоровье @pervayashkola · 23,762 Telegram ranks this channel #44 of 90 here — alongside 89 others — read 17 September 2026
ПланетаМед - клиники сложного диагноза @planetamed · 34,957 Telegram ranks this channel #44 of 83 here — alongside 82 others — read 2 September 2026
This channel appears in 29 seed channels' Telegram-generated recommendation lists in total, of which the 24 where it ranks highest are shown above. 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 4 November 2026 — this
entry's latest reading, not the date you are reading this.
“Доктор Королёв” (@dockorolev_channel), 7,631 subscribers as measured 4 November 2026. Telegram Register, tgregister.com/channel/dockorolev_channel.
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.