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Channel

JAMA (Journal of the American Medical Association)

@JAMAupdates

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Telegram's recommendations · Cite this entry

16,200subscribers

+264 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-1001468558420
TypeChannel
Username@JAMAupdates
DescriptionAll the latest articles published on JAMA before going in to print Discussion Group https://t.me/Medical_Professionals_Forum Contact us https://t.me/Contact_Updates_in_Medicine_Bot
CreatedBetween 1 April 2019 and 30 September 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live29 August 2026
Measurements held20
Confirmed unchanged1 time, most recently 29 August 2026
On Telegramt.me/JAMAupdates

Growth

15,93616,20016,0687 August 2026 — 15,936 subscribers7 August 2026 — 15,941 subscribers8 August 2026 — 15,951 subscribers9 August 2026 — 15,965 subscribers10 August 2026 — 15,978 subscribers11 August 2026 — 15,991 subscribers12 August 2026 — 16,007 subscribers14 August 2026 — 16,019 subscribers15 August 2026 — 16,042 subscribers17 August 2026 — 16,062 subscribers18 August 2026 — 16,074 subscribers19 August 2026 — 16,079 subscribers20 August 2026 — 16,100 subscribers21 August 2026 — 16,111 subscribers23 August 2026 — 16,143 subscribers24 August 2026 — 16,159 subscribers26 August 2026 — 16,175 subscribers27 August 2026 — 16,184 subscribers28 August 2026 — 16,193 subscribers29 August 2026 — 16,200 subscribers7 August 202629 August 2026
20 measurements spanning 22 days, net +264. 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 15,896–16,240 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
29 Aug 2026, 09:5716,200+7
28 Aug 2026, 13:1316,193+9
27 Aug 2026, 14:3216,184+9
26 Aug 2026, 17:4316,175+16
24 Aug 2026, 17:4516,159+16
23 Aug 2026, 03:2516,143+32
21 Aug 2026, 12:1316,111+11
20 Aug 2026, 10:5216,100+21
19 Aug 2026, 08:5616,079+5
18 Aug 2026, 12:2716,074+12
17 Aug 2026, 11:2316,062+20
15 Aug 2026, 19:3616,042+23
14 Aug 2026, 06:3616,019+12
12 Aug 2026, 23:0316,007+16
11 Aug 2026, 20:5215,991+13
10 Aug 2026, 19:1515,978+13
9 Aug 2026, 17:4215,965+14
8 Aug 2026, 20:5515,951+10
7 Aug 2026, 21:5515,941+5
7 Aug 2026, 00:1515,936first reading

Engagement

115 posts held, back to 3 August 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 46 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
3.27%
avg views ÷ 16,200 subscribers
Avg views / post
530
115 posts measured
Reaction rate
0.141%
reactions ÷ views · ER floor
Posts in window
115
of 115 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 16 of 115 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 29 August 2026
Posts held115 (3 August 202629 August 2026)
Views total60,961
Reactions total14
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken29 Aug 2026, 14:53 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
20
Links
6,520

Lifetime counters from Telegram’s own channel header, read 29 August 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.

Reaction mix

14 reactions across 14 posts, in 4 distinct kinds. The most used accounts for 78.6% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
1178.6%
👍17.14%
👎17.14%
🔥17.14%

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 16 of the 115 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 14reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 115 most recent posts we hold, published 3 August 2026 to 29 August 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

29 Aug 2026, 14:50 UTC8 viewsread 29 August 2026

LDL Cholesterol Lowering With Evolocumab Before Percutaneous Coronary Intervention for Acute Myocardial Infarction Research Summary https://jamanetwork.com/journals/jama/fullarticle/2853273 This trial evaluated whether starting evolocumab before percutaneous coronary intervention improved low-density lipoprotein cholesterol target achievement and clinical outcomes after acute myocardial infarction.

29 Aug 2026, 14:49 UTC10 viewsread 29 August 2026

Evolocumab Before Percutaneous Coronary Intervention for Acute Myocardial Infarction https://jamanetwork.com/journals/jama/fullarticle/2853274 This prospective randomized open, blinded end-point adjudication study examines evolocumab as first-line therapy vs standard care in patients with high-risk acute myocardial infarction undergoing percutaneous coronary intervention.

29 Aug 2026, 14:48 UTC11 viewsread 29 August 2026

LDL-C Lowering After Myocardial Infarction https://jamanetwork.com/journals/jama/fullarticle/2853275 When statins first emerged as a potent treatment for elevated low-density lipoprotein cholesterol (LDL-C), the logical population to test was patients with coronary heart disease (CHD) and high LDL-C, providing definitive proof causally linking LDL-C to CHD. Additional statin trials extended the evidence base, demons

29 Aug 2026, 04:17 UTC284 viewsread 29 August 2026

Cardiovascular Magnetic Resonance to Guide Defibrillator Implantation for LVEF of 36% to 50% Research Summary https://jamanetwork.com/journals/jama/fullarticle/2853394 This trial tested whether implantable cardioverter-defibrillators (ICDs) reduce sudden cardiac death (SCD) or hemodynamically significant ventricular arrhythmia (HSVA) in patients with a left ventricular ejection fraction (LVEF) of 36% to 50% and myoc

29 Aug 2026, 04:16 UTC287 viewsread 29 August 2026

CMR to Guide Defibrillator Implantation for LVEF https://jamanetwork.com/journals/jama/fullarticle/2853395 This randomized clinical trial compares the effects of an implantable cardioverter-defibrillator vs an implantable loop recorder on sudden cardiac death risk or hemodynamically significant ventricular arrhythmia in patients with a left ventricular ejection fraction of 36% to 50% and a myocardial scar.

29 Aug 2026, 04:15 UTC277 viewsread 29 August 2026

Implantable Cardioverter-Defibrillators for Patients With an LVEF >35% https://jamanetwork.com/journals/jama/fullarticle/2853396 The implantable cardioverter-defibrillator (ICD) remains a cornerstone therapy for the prevention of sudden cardiac death. Randomized clinical trials have demonstrated a survival benefit with ICDs for primary prevention in patients with a left ventricular ejection fraction (LVEF) of 35%

28 Aug 2026, 12:06 UTC446 viewsread 29 August 2026

AI-Enabled Aortic Stenosis Screening https://jamanetwork.com/journals/jamacardiology/fullarticle/2853493 This diagnostic study develops and validates a deep learning algorithm to detect moderate or greater aortic stenosis and prospectively evaluates its performance using artificial intelligence–guided focused cardiac ultrasound acquired by novice operators.

28 Aug 2026, 12:05 UTC457 viewsread 29 August 2026

AI and Echocardiography https://jamanetwork.com/journals/jamacardiology/fullarticle/2853494 There is a burden of undiagnosed aortic stenosis (AS) in the community—1% of older individuals—which is small but important. This problem has increased with population aging, and the desirability of detection has increased with access to percutaneous management of AS. The limitations of current practice—based on case finding

27 Aug 2026, 18:25 UTC490 viewsread 29 August 2026

Nomenclature https://jamanetwork.com/journals/jama/fullarticle/2853365 In this narrative medicine essay, a maternal-fetal medicine physician trained to use clinical terms for developmental stages of pregnancy as an emotional stay against an uncertain outcome experiences tension between clinical and lived language during his wife’s miscarriage.

27 Aug 2026, 18:24 UTC467 viewsread 29 August 2026

ADVOCATing for Patients With Heart Failure https://jamanetwork.com/journals/jama/fullarticle/2853366 The ADVOCATE initiative and how autonomous AI agents could help patients with heart failure are discussed by JAMA+ AI Editor in Chief Roy Perlis, MD, MSc, and Haider Warraich, MD, a cardiologist and the program manager at ARPA-H, for the JAMA+ AI Conversations podcast.

27 Aug 2026, 18:23 UTC470 views1 reactionsread 29 August 2026

Parental Support Package for Pregnant and Postpartum Trainees—Reply https://jamanetwork.com/journals/jama/fullarticle/2853367 In Reply We share the conviction of Dr Patek and colleagues that parental leave is critically important for the well-being of childbearing trainees. We believe, however, that burnout among childbearing trainees is multifactorial, and the empirical evidence does not support paid parental leave

1

27 Aug 2026, 18:22 UTC413 viewsread 29 August 2026

Parental Support Package for Pregnant and Postpartum Trainees https://jamanetwork.com/journals/jama/fullarticle/2853368 To the Editor The recent article on a pragmatic parental support package to mitigate burnout among pregnant and postpartum trainees addressed a real and underrecognized problem. However, the proposed parental support package did not address the structural determinants of burnout in this population,

Showing the 12 most recent of 115 posts we hold for @JAMAupdates. 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.

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.

UPDATES IN MEDICINE
@Updates_in_Medicine · 47,181
Telegram ranks this channel #4 of 74 here — alongside 73 others — read 26 August 2026
MBBS Materials by Dr MediRobot
@mbbsmaterials · 67,650
Telegram ranks this channel #9 of 64 here — alongside 63 others — read 26 August 2026
Medical Books
@MedicalBooksStoreA · 41,705
Telegram ranks this channel #10 of 67 here — alongside 66 others — read 29 August 2026
Internal Medicine Videos & books
@medicinevideoss · 103,386
Telegram ranks this channel #17 of 75 here — alongside 74 others — read 26 August 2026
THE WHITE ARMY
@whitearmyofmedicos · 101,929
Telegram ranks this channel #24 of 60 here — alongside 59 others — read 26 August 2026
Anatomy embryology histology videos & books
@anatomyvideoss · 90,808
Telegram ranks this channel #29 of 53 here — alongside 52 others — read 26 August 2026
Artículos Médicos - Luis, el intensivista
@luiselintensivista · 73,434
Telegram ranks this channel #40 of 73 here — alongside 72 others — read 22 August 2026
Artículos médicos Twitter
@articulosmedicosdelMedtwitter · 51,810
Telegram ranks this channel #43 of 77 here — alongside 76 others — read 24 August 2026
Clinical Practice guidelines
@ClinicalPharmGuideline · 60,007
Telegram ranks this channel #44 of 78 here — alongside 77 others — read 22 August 2026
Medinternafacil 🤓🩺
@medinternafacil · 61,799
Telegram ranks this channel #49 of 76 here — alongside 75 others — read 22 August 2026
Kaplan Videos | Step 1 | 2 CK | 3
@USMLEKaplan · 60,092
Telegram ranks this channel #52 of 74 here — alongside 73 others — read 26 August 2026
Medical USMLE
@kaplanusmles · 44,312
Telegram ranks this channel #54 of 74 here — alongside 73 others — read 28 August 2026
Polite Doctor🩺
@skills_first · 42,172
Telegram ranks this channel #61 of 73 here — alongside 72 others — read 29 August 2026

This channel appears in 13 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 29 August 2026 — this entry's latest reading, not the date you are reading this.

“JAMA (Journal of the American Medical Association)” (@JAMAupdates), 16,200 subscribers as measured 29 August 2026. Telegram Register, tgregister.com/channel/JAMAupdates.

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.