Channel
@clinicamed_updates
On this record: Topic · Growth · Engagement · Posts · Citations · Cite this entry
44subscribers
+32 since we began measuring on 3 September 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1004485692207 |
|---|---|
| Type | Channel |
| Username | @clinicamed_updates |
| Created | Between 1 June 2026 and 26 August 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 3 September 2026 |
| Last confirmed live | 1 November 2026 |
| Measurements held | 6 |
| Confirmed unchanged | 2 times, most recently 1 November 2026 |
| On Telegram | t.me/clinicamed_updates |
Education — 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 30 September 2026 and assigned it the closest of 31 fixed categories, at 52% 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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 25 Oct 2026, 18:08 | 44 | +1 |
| 11 Oct 2026, 03:36 | 43 | +2 |
| 30 Sept 2026, 18:56 | 41 | +1 |
| 12 Sept 2026, 11:19 | 40 | +13 |
| 4 Sept 2026, 15:18 | 27 | +15 |
| 3 Sept 2026, 12:22 | 12 | first reading |
11 posts held, back to 26 August 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 11 posts for this entry, the most recent from 3 September 2026. An engagement rate over an empty window would be a number about nothing.
🚨CLINICAMED GIVEAWAY🚨 INR 8,000 for medical students 2 winners. Each winner gets INR 4,000 by UPI. ClinicaMed is a new exam-prep platform — mock tests, question banks and flashcards for NEET PG, INICET, FMGE, NExT and USMLE. ONLY 2 STEPS TO ENTER: 1️⃣Follow our Instagram and join our Telegram community → instagram.com/clinicamed_hq → t.me/clinicamed_community 2️⃣To claim your entry: follow instagram.com/rza_ryan on…
🚨CLINICAMED GIVEAWAY🚨 INR 8,000 for medical students 2 winners. Each winner gets INR 4,000 by UPI. ClinicaMed is a new exam-prep platform — mock tests, question banks and flashcards for NEET PG, INICET, FMGE, NExT and USMLE. ONLY 2 STEPS TO ENTER: 1️⃣Follow our Instagram and join our Telegram community → instagram.com/clinicamed_hq → t.me/clinicamed_community 2️⃣To claim your entry: follow instagram.com/rza_ryan on…
CLINICAMED GIVEAWAY INR 8,000 for medical students 4 winners. Each winner gets INR 2,000 by UPI. ClinicaMed is a new exam-prep platform — mock tests, question banks and flashcards for NEET PG, INICET, FMGE, NExT and USMLE. TO ENTER, DO THESE 5 STEPS: 1️⃣Join our Telegram → t.me/clinicamed_community 2️⃣ Follow our Instagram → instagram.com/clinicamed_hq 3️⃣ Follow our X → x.com/clinicamed_hq 4️⃣ Make a free acco…
🚨 CLINICAMED GIVEAWAY 🚨 INR 8,000 for medical students 4 winners. Each winner gets INR 2,000 by UPI. ClinicaMed is a new exam-prep platform — mock tests, question banks and flashcards for NEET PG, INICET, FMGE, NExT and USMLE. TO ENTER, DO THESE 5 STEPS: 1️⃣ Join our Telegram → t.me/clinicamed_community 2️⃣ Follow our Instagram → instagram.com/clinicamed_hq 3️⃣ Follow our X → x.com/clinicamed_hq 4️⃣ Make a free…
🚨 CLINICAMED GIVEAWAY 🚨 INR 8,000 for medical students 4 winners. Each winner gets INR 2,000 by UPI. ClinicaMed is a new exam-prep platform — mock tests, question banks and flashcards for NEET PG, INICET, FMGE, NExT and USMLE. TO ENTER, DO THESE 5 STEPS: 1️⃣ Join our Telegram → t.me/clinicamed_community 2️⃣ Follow our Instagram → instagram.com/clinicamed_hq 3️⃣ Follow our X → x.com/clinicamed_hq 4️⃣ Make a free…
The lung biopsy shown is from a man with chronic cough and weight loss. It contains aggregates of epithelioid macrophages and multinucleate giant cells. Which cytokine-and-cell interaction is most responsible for converting macrophages into the epithelioid cells seen here? A) Interferon-gamma from Th1 cells activating macrophages B) Interleukin-4 from Th2 cells C) Interleukin-8 recruiting neutrophils D) IgE-mediated…
A boy has recurrent bacterial infections, delayed separation of the umbilical cord and a markedly raised blood neutrophil count, yet no pus forms at sites of infection. Functional studies show that his neutrophils roll along the endothelium normally but fail to arrest firmly and cross the vessel wall. Which step of leukocyte recruitment is defective? A) Firm adhesion, as leukocyte integrins bind endothelial ICAM-1 B)…
The liver shown was found at autopsy in a 47-year-old man with obesity, type 2 diabetes and heavy alcohol use who had hepatomegaly and mildly raised transaminases. Which mechanism most directly produced the appearance shown? A) Excess fatty-acid delivery with impaired lipoprotein export, storing triglyceride in hepatocytes B) Iron overload depositing haemosiderin within Kupffer cells C) Extracellular deposition of b…
The bronchial biopsy shown is from a 58-year-old lifelong smoker. The basement membrane is intact and there is no stromal invasion. Which best describes the lesion pictured and the immediate risk it carries? A) Hyperplasia, which carries no risk of malignancy B) Disuse atrophy of the epithelium C) Metaplasia-derived dysplasia amounting to carcinoma in situ, at risk of becoming invasive D) Invasive squamous carcinoma…
A 72-year-old man who has smoked for 50 years is found on ultrasound to have a 6 cm fusiform dilatation of the infrarenal aorta involving the full thickness of the wall, shown here in a comparable specimen. He is asymptomatic. His clinician counsels him that intervention is advised principally to prevent one specific event. Figure — Aorta with kidneys removed at autopsy in a comparable case (gross). A) Progressive i…
A 61-year-old woman with poorly controlled type 2 diabetes and 15 years of hypertension has slowly rising creatinine and bland urine. A renal biopsy shows the change pictured, with small arterioles diffusely thickened by glassy, homogeneous, pink material that narrows their lumina and patchy ischaemic scarring of glomeruli. Figure — Renal biopsy, PAS stain, from the described patient. A) Onion-skin concentric smooth…
Showing the 11 most recent of 11 posts we hold for @clinicamed_updates. 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.
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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.
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.
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 25 October 2026 — this entry's latest reading, not the date you are reading this.
“Clinicamed Updates” (@clinicamed_updates), 44 subscribers as measured 25 October 2026. Telegram Register, tgregister.com/channel/clinicamed_updates.
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.