Channel
@shifoxona_24
On this record: Topic · Growth · Engagement · Reactions · Posts · Citations · Cite this entry
2,405subscribers
-263 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 1,000–3,162.
| Telegram ID | -1001315499785 |
|---|---|
| Type | Channel |
| Username | @shifoxona_24 |
| Created | Between 1 March 2018 and 31 July 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 15 September 2026 |
| Measurements held | 13 |
| Confirmed unchanged | 1 time, most recently 15 September 2026 |
| On Telegram | t.me/shifoxona_24 |
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 15 September 2026 and assigned it the closest of 31 fixed categories, at 99% 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 why it has no browse page of its own yet.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 15 Sept 2026, 13:40 | 2,405 | -38 |
| 11 Sept 2026, 11:39 | 2,443 | -29 |
| 6 Sept 2026, 11:57 | 2,472 | -33 |
| 1 Sept 2026, 17:54 | 2,505 | -26 |
| 29 Aug 2026, 09:54 | 2,531 | -25 |
| 26 Aug 2026, 19:24 | 2,556 | -15 |
| 23 Aug 2026, 23:28 | 2,571 | -24 |
| 20 Aug 2026, 02:26 | 2,595 | -28 |
| 16 Aug 2026, 19:25 | 2,623 | -27 |
| 13 Aug 2026, 11:15 | 2,650 | -3 |
| 10 Aug 2026, 16:57 | 2,653 | -13 |
| 8 Aug 2026, 01:28 | 2,666 | -2 |
| 7 Aug 2026, 16:47 | 2,668 | first reading |
20 posts held, back to 6 March 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 1 page of Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 20 posts for this entry, the most recent from 29 April 2026. An engagement rate over an empty window would be a number about nothing.
7 reactions across 4 posts, in 2 distinct kinds. The most used accounts for 85.7% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 🔥 | 6 | 85.7% | |
| ❤ | 1 | 14.3% |
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 4 of the 20 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 7 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 20 most recent posts we hold, published 6 March 2026 to 29 April 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.
🚑 Ko‘krak og‘rig‘i bilan kelgan bemor — infarkt xavfi 🫀 Etiologiya Koronar arteriya tiqilishi. 😰 Belgilar • ko‘krak siqilishi • chap qo‘lga tarqalish • sovuq ter 🩺 Diagnostika EKG + troponin. 💉 Davolash • antiplatelet • stentlash 📌 Har daqiqa muhim. https://t.me/shifoxona_24
❤1
🚨 “Qorin og‘riyapti” degan bemorda pankreatit chiqdi 🦠 Etiologiya Oshqozon osti bezining yallig‘lanishi. 😖 Belgilar • kuchli epigastral og‘riq • orqaga tarqalish • ko‘ngil aynishi 🩺 Diagnostika • amilaza/lipaza • UTT 💊 Davolash • och qolish (NPO) • infuzion terapiya • og‘riq nazorati https://t.me/shifoxona_24
🚑 “Oddiy bosh og‘rig‘i” deb kelgan bemorda insult aniqlangan 🧠 Etiologiya Miya qon tomirining to‘silib qolishi (ishemik insult). 😵 Shikoyatlar • kuchli bosh og‘rig‘i • qo‘l-oyoq kuchsizligi • nutq buzilishi • yuz qiyshayishi 🩺 Diagnostika • KT (kompyuter tomografiya) • nevrologik tekshiruv • qon tahlili 💉 Davolash Erta bosqichda trombolitik terapiya qo‘llanadi. ⚠️ Muhim 4,5 soat ichida yordam ko‘rsatilsa hayot s…
🚑 To‘satdan hushdan ketgan bemor — eng xavfli signallardan biri 🧠 Etiologiya Miya qon aylanishi vaqtincha buzilishi yoki yurak ritm muammolari. 😵 Shikoyatlar • bosh aylanishi • ko‘z oldi qorong‘ilashishi • hush yo‘qotish 🩺 Diagnostika • EKG • nevrolog ko‘rigi • qon tahlili 💉 Davolash Sababga qarab yurak yoki nevrologik davolash. 📌 Bu holatni e’tiborsiz qoldirish xavfli. https://t.me/shifoxona_24
Photo, posted without a caption
🚑 Tez yordamga ko‘p keladigan sabab — ko‘krak siqilishi 🫀 Etiologiya Ko‘krak siqilishi yurak ishemik kasalligi yoki stress bilan bog‘liq bo‘lishi mumkin. 😖 Shikoyatlar • ko‘krak bosilishi • chap qo‘lga og‘riq tarqalishi • nafas qisishi • sovuq terlash 🩺 Diagnostika • EKG • troponin tahlili • kardiolog ko‘rigi 💊 Davolash Sababga qarab antianginal dorilar. 📌 Kechikish yurak xurujiga olib kelishi mumkin. 🔑 Kalit s…
🔥2
🚨 Shifoxonaga ko‘p keladigan holat — kuchli bosh og‘rig‘i 🧠 Etiologiya Migren yoki qon bosimi oshishi sabab bo‘lishi mumkin. 😵 Belgilar • pulsatsiyalovchi og‘riq • yorug‘likdan bezovtalik • ko‘ngil aynishi 🩺 Diagnostika Nevrolog ko‘rigi va KT zarur bo‘lishi mumkin. 💊 Davolash Og‘riq qoldiruvchi va maxsus migren dorilari. 🔑 Kalit so‘z: MIGREN @shifoxona_24
🚑 Qon shakar oshib ketgan bemorlar 🍬 Etiologiya Diabet nazoratsiz qolsa giperglikemiya rivojlanadi. 😴 Belgilar • chanqash • tez siyish • holsizlik 🩺 Tekshiruv Glyukoza va HbA1c. 💉 Davolash Insulin yoki shakar tushiruvchi dorilar. 🔑 Kalit so‘z: GIPERGLIKEMIYA @shifoxona_24
Вақт даволамайди Вақт куникишга мажбур қилади... ва инсон куникади
🔥3
🚨 Ko‘krak og‘rig‘i bilan kelgan bemor — har doim yurak xuruji emas 🫀 Etiologiya Ko‘krak og‘rig‘i yurak, o‘pka yoki mushak tizimi kasalliklari sabab paydo bo‘lishi mumkin. 😖 Shikoyatlar • ko‘krak sohasida bosuvchi og‘riq • nafas qisishi • sovuq terlash 🩺 Diagnostika Shifoxonada birinchi navbatda EKG tekshiruvi o‘tkaziladi. Qon tahlilida troponin darajasi tekshiriladi. 💉 Davolash Sababga qarab yurak dori vositalari…
🔥1
🚑 Qorin og‘rig‘i bilan kelgan bemorlarda eng ko‘p aniqlanadigan kasallik 🦠 Etiologiya Appenditsit — ko‘richak o‘simtasining yallig‘lanishi. 😖 Belgilar • qorinning o‘ng pastki qismida og‘riq • isitma • ko‘ngil aynishi 🩺 Diagnostika Ultratovush tekshiruvi va qon tahlili orqali aniqlanadi. 🔪 Davolash Ko‘pincha jarrohlik operatsiyasi talab qilinadi. 🚨 Xavf Kechikkan holatda peritonit rivojlanishi mumkin. 🔑 Kalit so…
🚨 Shifoxonada tez-tez uchraydigan muammo — yuqori qon bosimi 🫀 Etiologiya Gipertoniya stress, ortiqcha vazn va genetik omillar bilan bog‘liq. 😵 Belgilar • bosh og‘rig‘i • bosh aylanishi • quloqda shovqin 🩺 Diagnostika Qon bosimi o‘lchovi va yurak tekshiruvlari o‘tkaziladi. 💊 Davolash Antigipertenziv dorilar buyuriladi. 🛡 Profilaktika • tuzni kamaytirish • vazn nazorati • jismoniy faollik 🔑 Kalit so‘z: GIPERTONI…
Showing the 12 most recent of 20 posts we hold for @shifoxona_24. 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.
Republishes
Channels on the register whose posts this channel has forwarded.
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.
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.
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 15 September 2026 — this entry's latest reading, not the date you are reading this.
“Шифохона | 24” (@shifoxona_24), 2,405 subscribers as measured 15 September 2026. Telegram Register, tgregister.com/channel/shifoxona_24.
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.