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Channel

Geriatric Medicine Updates

@Geriatric_Medicine

On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry

2,044subscribers

+5 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1001127751273
TypeChannel
Username@Geriatric_Medicine
CreatedBetween 1 June 2017 and 30 September 2020— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live14 August 2026
Measurements held5
Confirmed unchanged1 time, most recently 14 August 2026
On Telegramt.me/Geriatric_Medicine

Growth

2,0392,0442,041.57 August 2026 — 2,039 subscribers7 August 2026 — 2,039 subscribers8 August 2026 — 2,040 subscribers11 August 2026 — 2,041 subscribers14 August 2026 — 2,044 subscribers7 August 202614 August 2026
5 measurements spanning 7 days, net +5. 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 2,038–2,045 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
14 Aug 2026, 05:292,044+3
11 Aug 2026, 02:282,041+1
8 Aug 2026, 11:572,040+1
7 Aug 2026, 15:022,039no change
7 Aug 2026, 12:522,039first reading

Engagement

20 posts held, back to 22 May 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 pageof Telegram’s post history, 20 posts per page.

ERR · 30 days
8.83%
avg views ÷ 2,044 subscribers
Avg views / post
180
11 posts measured
Reaction rate
this channel exposes no reaction counts
Posts in window
11
of 20 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.

What these figures were computed from
WindowRolling 30 days · latest post in window 25 July 2026
Posts held20 (22 May 202625 July 2026)
Views total1,985
Reactions total
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 15:02 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.

Reaction mix

3 reactions across 3 posts, in 2 distinct kinds. The most used accounts for 66.7% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
266.7%
👍133.3%

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 3reactions 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 22 May 2026 to 25 July 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

25 Jul 2026, 00:06 UTC250 viewsread 7 August 2026

[Comment] Preparing for a dementia prevention era in the world we actually live in https://www.thelancet.com/journals/lanhl/article/PIIS2666-7568(26)00060-7/fulltext?rss=yes Emma Nichols and colleagues published an ambitious multinational map of modifiable dementia risk factors in The Lancet Healthy Longevity,1 based on harmonised data from more than 214 000 adults aged 50 years and older across 14 regions, spanning

25 Jul 2026, 00:05 UTC217 viewsread 7 August 2026

[Articles] Differences in the prevalence and patterns of dementia risk factors across 14 countries and regions: a harmonised cross-national analysis https://www.thelancet.com/journals/lanhl/article/PIIS2666-7568(26)00051-6/fulltext?rss=yes Differences in the prevalence and patterns of dementia risk factors highlight the need to tailor prevention strategies to specific contexts. However, findings also reveal consiste

25 Jul 2026, 00:04 UTC189 viewsread 7 August 2026

[Editorial] Optimising health care for adults with Down syndrome https://www.thelancet.com/journals/lanhl/article/PIIS2666-7568(26)00071-1/fulltext?rss=yes People with Down syndrome are living longer. In 2010, mean life expectancy for people with Down syndrome in the USA was 58 years, compared to just 26 years in 1950. These gains are due, in part, to health-care advances for conditions, such as congenital heart dis

25 Jul 2026, 00:03 UTC174 viewsread 7 August 2026

[Review] Population-level interventions for dementia prevention: a systematic review https://www.thelancet.com/journals/lanhl/article/PIIS2666-7568(26)00053-X/fulltext?rss=yes Nearly half of dementia cases are potentially preventable through modifiable risk factors, yet few population-level interventions have been evaluated. This systematic review identified 12 studies from eight countries (Australia, Belgium, Chile

25 Jul 2026, 00:02 UTC166 viewsread 7 August 2026

[Correspondence] Delirium: the missing link between severe infection and subsequent dementia? https://www.thelancet.com/journals/lanhl/article/PIIS2666-7568(26)00057-7/fulltext?rss=yes We read with interest the Article by Pyry N Sipilä and colleagues,1 published in The Lancet Healthy Longevity. The findings are important and convincingly show that severe infections are associated with later dementia risk even after

25 Jul 2026, 00:01 UTC158 viewsread 7 August 2026

[Correspondence] Delirium: the missing link between severe infection and subsequent dementia? https://www.thelancet.com/journals/lanhl/article/PIIS2666-7568(26)00058-9/fulltext?rss=yes We agree with Rose S Penfold and colleagues that delirium may have a role in the association between severe (hospital-treated) infections and an increased risk of subsequent dementia; however, whether delirium is a cause of later cogn

25 Jul 2026, 00:00 UTC151 viewsread 7 August 2026

[Personal View] Conversion cascades for sensory and oral capability in primary care and community settings https://www.thelancet.com/journals/lanhl/article/PIIS2666-7568(26)00048-6/fulltext?rss=yes Healthy ageing programmes increasingly incorporate functional checks and intrinsic capacity pathways in primary care and community settings. Yet, programme success is still often judged by the number of people screened, a

24 Jul 2026, 23:59 UTC146 viewsread 7 August 2026

[Articles] Associations of testosterone, sex hormone-binding globulin, and related hormones with risks of cancer death, incident cancer, and incident prostate cancer in men: individual participant data meta-analyses https://www.thelancet.com/journals/lanhl/article/PIIS2666-7568(26)00041-3/fulltext?rss=yes Lower total testosterone or dihydrotestosterone concentrations in men were associated with a higher risk of canc

24 Jul 2026, 23:58 UTC153 viewsread 7 August 2026

[Personal View] What is meant when we say we are clustering multimorbidity? https://www.thelancet.com/journals/lanhl/article/PIIS2666-7568(26)00040-1/fulltext?rss=yes Clustering multimorbidity has been a global research priority of late. Existing studies usually identify these clusters using one of several popular clustering methods such as latent class analysis or hierarchical clustering and then explore various ch

24 Jul 2026, 23:57 UTC191 viewsread 7 August 2026

[Review] Effectiveness of infection prevention and control interventions in reducing health-care-associated infections in long-term care facilities for older people: a systematic review https://www.thelancet.com/journals/lanhl/article/PIIS2666-7568(26)00043-7/fulltext?rss=yes Existing infection prevention and control measures focus primarily on acute health-care settings; however, residents and staff in long-term ca

24 Jul 2026, 23:56 UTC190 viewsread 7 August 2026

[Corrections] Correction to Lancet Healthy Longev 2026; 7: 100837 https://www.thelancet.com/journals/lanhl/article/PIIS2666-7568(26)00055-3/fulltext?rss=yes Joundi RA, Rangarajan S, Bangdiwala S, et al. Life-course trajectories and modifiable risk factors for incident walking limitation and mortality in 25 high-income, middle-income, and low-income countries (PURE): a prospective cohort study. Lancet Healthy Longev

30 Jun 2026, 10:56 UTC406 viewsread 7 August 2026
Forwarded from @Updates_in_MedicinePhoto

New Universal Classification of Heart Failure Full Guidelines

Showing the 12 most recent of 20 posts we hold for @Geriatric_Medicine. 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.

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 14 August 2026 — this entry's latest reading, not the date you are reading this.

“Geriatric Medicine Updates” (@Geriatric_Medicine), 2,044 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/Geriatric_Medicine.

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.