21 measurements spanning 22 days, net +448. 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 18,858–19,440 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 21
Measured (UTC)
Subscribers
Change
29 Aug 2026, 06:57
19,373
+21
28 Aug 2026, 08:54
19,352
+5
27 Aug 2026, 10:07
19,347
+31
26 Aug 2026, 06:43
19,316
+16
25 Aug 2026, 04:14
19,300
+12
23 Aug 2026, 20:53
19,288
+57
22 Aug 2026, 02:05
19,231
+27
20 Aug 2026, 19:33
19,204
+16
19 Aug 2026, 21:12
19,188
+22
18 Aug 2026, 18:37
19,166
+15
17 Aug 2026, 19:15
19,151
+22
16 Aug 2026, 14:18
19,129
+35
14 Aug 2026, 18:22
19,094
+26
13 Aug 2026, 05:59
19,068
+26
12 Aug 2026, 07:58
19,042
+37
11 Aug 2026, 04:41
19,005
+17
10 Aug 2026, 02:11
18,988
+24
9 Aug 2026, 05:02
18,964
+19
8 Aug 2026, 06:43
18,945
+19
7 Aug 2026, 05:40
18,926
first reading
Engagement
29 posts held, back to 26 June 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 47 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
10.7%
avg views ÷ 19,373 subscribers
Avg views / post
2,070
12 posts measured
Reaction rate
0.046%
reactions ÷ views · ER floor
Posts in window
12
of 29 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 7 of 12 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 27 August 2026
Posts held
29 (26 June 2026 – 27 August 2026)
Views total
24,796
Reactions total
7
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
29 Aug 2026, 11:06 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
≈110
Links
≈8,380
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
31 reactions across 16 posts, in 3 distinct kinds. The most used accounts for 87.1% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
27
87.1%
👍
3
9.68%
🙏
1
3.23%
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 20 of the 29 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 31reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 29 most recent posts we hold, published 26 June 2026 to 27 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.
Dyslipidaemia and hepatic steatosis: mechanisms and implications for lipid-lowering therapy
https://www.nature.com/articles/s41569-026-01336-1
Nature Reviews Cardiology, Published online: 27 August 2026; doi:10.1038/s41569-026-01336-1 (https://www.nature.com/articles/s41569-026-01336-1)Dyslipidaemia and hepatic steatosis are interconnected disorders that contribute to the burden of cardiovascular disease. Understand…
Reply to ‘Bedside epicardial adipose tissue assessment in the era of advanced adipose phenotyping’
https://www.nature.com/articles/s41569-026-01343-2
Nature Reviews Cardiology, Published online: 27 August 2026; doi:10.1038/s41569-026-01343-2 (https://www.nature.com/articles/s41569-026-01343-2)Reply to ‘Bedside epicardial adipose tissue assessment in the era of advanced adipose phenotyping’
Bedside epicardial adipose tissue assessment in the era of advanced adipose phenotyping
https://www.nature.com/articles/s41569-026-01344-1
Nature Reviews Cardiology, Published online: 27 August 2026; doi:10.1038/s41569-026-01344-1 (https://www.nature.com/articles/s41569-026-01344-1)Bedside epicardial adipose tissue assessment in the era of advanced adipose phenotyping
Nicotine-containing products and the cardiovascular system: mechanisms and global health implications
https://www.nature.com/articles/s41569-026-01331-6
Nature Reviews Cardiology, Published online: 20 August 2026; doi:10.1038/s41569-026-01331-6 (https://www.nature.com/articles/s41569-026-01331-6)In this Review, Münzel and colleagues discuss the available mechanistic, biomarker, preclinical and clinical data on the c…
Cardiovascular research in China: pathways, incentives and editorial implications
https://www.nature.com/articles/s41569-026-01341-4
Nature Reviews Cardiology, Published online: 19 August 2026; doi:10.1038/s41569-026-01341-4 (https://www.nature.com/articles/s41569-026-01341-4)The cardiovascular research landscape in China is shaped by a tiered, hospital-centred system, expanding funding opportunities and strong clin…
Cardiac fibroblast diversity in HFpEF: states, niches, interorgan drivers and targets
https://www.nature.com/articles/s41569-026-01335-2
Nature Reviews Cardiology, Published online: 18 August 2026; doi:10.1038/s41569-026-01335-2 (https://www.nature.com/articles/s41569-026-01335-2)Myocardial fibrosis is a key structural and prognostically adverse feature of heart failure with preserved ejection fraction (HFpEF). In t…
Atherosclerotic plaque-derived microparticles as exporters of thrombotic risk
https://www.nature.com/articles/s41569-026-01340-5
Nature Reviews Cardiology, Published online: 18 August 2026; doi:10.1038/s41569-026-01340-5 (https://www.nature.com/articles/s41569-026-01340-5)Tipack Shanmugam discusses a study showing that microparticles released from atherosclerotic plaque can increase thrombotic risk and proposes that…
Uncovering the role of chromatin organization and dynamics in heart disease
https://www.nature.com/articles/s41569-026-01338-z
Nature Reviews Cardiology, Published online: 11 August 2026; doi:10.1038/s41569-026-01338-z (https://www.nature.com/articles/s41569-026-01338-z)Two studies published in Science explore how 3D chromatin organization and structure can influence cardiac development and promote heart failure.
The biomechanical environment of coronary atherosclerotic plaque rupture
https://www.nature.com/articles/s41569-026-01337-0
Nature Reviews Cardiology, Published online: 11 August 2026; doi:10.1038/s41569-026-01337-0 (https://www.nature.com/articles/s41569-026-01337-0)Tsiartas and Bennett discuss the discovery that atheroclerotic plaque vulnerability to rupture arises from the interaction between plaque composition a…
Haemolytic injury and cardiovascular disease
https://www.nature.com/articles/s41569-026-01329-0
Nature Reviews Cardiology, Published online: 06 August 2026; doi:10.1038/s41569-026-01329-0 (https://www.nature.com/articles/s41569-026-01329-0)Haemolysis, and the subsequent liberation of haemoglobin into the plasma, can induce haemodynamic dysregulation and cardiovascular injury. In this Review, Hieromnimon and colleagu…
Social determinants of cardiovascular health: lessons from Whitehall
https://www.nature.com/articles/s41569-026-01333-4
Nature Reviews Cardiology, Published online: 03 August 2026; doi:10.1038/s41569-026-01333-4 (https://www.nature.com/articles/s41569-026-01333-4)Benjamin Dowsing describes the Whitehall studies, which established the inverse relationship between socioeconomic status and the risk of death from corona…
Post-mitotic cardiomyocyte senescence redefines cardiac ageing
https://www.nature.com/articles/s41569-026-01332-5
Nature Reviews Cardiology, Published online: 03 August 2026; doi:10.1038/s41569-026-01332-5 (https://www.nature.com/articles/s41569-026-01332-5)Ilias Simon and Yohan Santin discuss the study that demonstrated that post-mitotic cardiomyocytes can acquire a senescent phenotype with age.
❤1
Showing the 12 most recent of 29 posts we hold for @Cardiology_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.
Forward network
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.
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.
Clinical Practice guidelines @ClinicalPharmGuideline · 60,007 Telegram ranks this channel #6 of 78 here — alongside 77 others — read 22 August 2026
MBBS Materials by Dr MediRobot @mbbsmaterials · 67,650 Telegram ranks this channel #11 of 64 here — alongside 63 others — read 26 August 2026
UPDATES IN MEDICINE @Updates_in_Medicine · 47,181 Telegram ranks this channel #13 of 74 here — alongside 73 others — read 26 August 2026
Medical Books @MedicalBooksStoreA · 41,705 Telegram ranks this channel #16 of 67 here — alongside 66 others — read 29 August 2026
Internal Medicine Videos & books @medicinevideoss · 103,386 Telegram ranks this channel #18 of 75 here — alongside 74 others — read 26 August 2026
Polite Doctor🩺 @skills_first · 42,172 Telegram ranks this channel #20 of 73 here — alongside 72 others — read 29 August 2026
Medinternafacil 🤓🩺 @medinternafacil · 61,799 Telegram ranks this channel #31 of 76 here — alongside 75 others — read 22 August 2026
Biochemistry Videos & Books @biochemistry_videos · 62,985 Telegram ranks this channel #32 of 68 here — alongside 67 others — read 26 August 2026
Medical Notes( NINJA Nerd) 📝 @Notes_772 · 79,484 Telegram ranks this channel #36 of 76 here — alongside 75 others — read 26 August 2026
PDFology @PDFology · 67,046 Telegram ranks this channel #49 of 77 here — alongside 76 others — read 20 August 2026
Artículos médicos Twitter @articulosmedicosdelMedtwitter · 51,810 Telegram ranks this channel #59 of 77 here — alongside 76 others — read 24 August 2026
Osmosis @osmosis_mogahed772 · 67,829 Telegram ranks this channel #63 of 75 here — alongside 74 others — read 26 August 2026
This channel appears in 12 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.
“Cardiology Updates” (@Cardiology_Updates), 19,373 subscribers as measured 29 August 2026. Telegram Register, tgregister.com/channel/Cardiology_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.