Channel
@Respiratory_Updates
On this record: Topic · Growth · Engagement · Reactions · Posts · Telegram's recommendations · Cite this entry
5,267subscribers
+180 since we began measuring on 22 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
| Telegram ID | -1001195340764 |
|---|---|
| Type | Channel |
| Username | @Respiratory_Updates |
| Created | 4 June 2020 — measured — cross-checked against a third-party dataset (TGDataset) |
| First recorded | 22 August 2026 |
| Last confirmed live | 4 November 2026 |
| Measurements held | 21 |
| Confirmed unchanged | 1 time, most recently 4 November 2026 |
| On Telegram | t.me/Respiratory_Updates |
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 13 September 2026 and assigned it the closest of 31 fixed categories, at 58% 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 |
|---|---|---|
| 4 Nov 2026, 16:36 | 5,267 | +7 |
| 1 Nov 2026, 22:48 | 5,260 | +3 |
| 30 Oct 2026, 09:06 | 5,257 | +11 |
| 27 Oct 2026, 04:17 | 5,246 | +4 |
| 24 Oct 2026, 08:36 | 5,242 | +7 |
| 21 Oct 2026, 04:20 | 5,235 | +5 |
| 18 Oct 2026, 04:28 | 5,230 | +15 |
| 14 Oct 2026, 21:56 | 5,215 | +11 |
| 11 Oct 2026, 17:16 | 5,204 | +19 |
| 5 Oct 2026, 04:58 | 5,185 | +10 |
| 26 Sept 2026, 19:37 | 5,175 | +11 |
| 17 Sept 2026, 08:19 | 5,164 | +11 |
| 13 Sept 2026, 02:20 | 5,153 | +19 |
| 8 Sept 2026, 19:57 | 5,134 | +16 |
| 3 Sept 2026, 21:38 | 5,118 | +4 |
| 31 Aug 2026, 20:25 | 5,114 | +9 |
| 29 Aug 2026, 02:35 | 5,105 | +9 |
| 25 Aug 2026, 22:34 | 5,096 | +6 |
| 23 Aug 2026, 04:35 | 5,090 | +3 |
| 22 Aug 2026, 14:45 | 5,087 | first reading |
20 posts held, back to 14 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 20 posts for this entry, the most recent from 21 August 2026. An engagement rate over an empty window would be a number about nothing.
5 reactions across 4 posts, in 1 kind.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 5 | 100.0% |
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 5 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 14 August 2026 to 21 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.
[Articles] Symptom burden to characterise, predict, and prevent asthma attacks: a patient-level meta-analysis of randomised trials and translational prospective studies https://www.thelancet.com/journals/lanres/article/PIIS2213-2600(26)00150-5/fulltext?rss=yes In a large, individual patient-level meta-analysis of randomised controlled trials and translational prospective observational cohort studies, we observed lit…
[Spotlight] Breathing Space: “A love letter to breath” https://www.thelancet.com/journals/lanres/article/PIIS2213-2600(26)00254-7/fulltext?rss=yes It has been nearly 10 years since Havi Carel's Spotlight in The Lancet Respiratory Medicine on breathlessness and the rift between objective measurement and subjective experience. Havi's phenomenological study of breathlessness for the Wellcome-funded medical humanities L…
❤2
[Articles] Mepolizumab effectiveness for patients with severe, uncontrolled chronic rhinosinusitis with nasal polyps in Italy (MEPOREAL): a real-life, multicentre, phase 4 trial https://www.thelancet.com/journals/lanres/article/PIIS2213-2600(26)00197-9/fulltext?rss=yes Mepolizumab progressively improved outcomes during the first 12 months of treatment. Long-term, prospective studies are warranted to further elucidat…
❤1
[Spotlight] Edinburgh Festival Fringe: “Cancer isn't pretty—and neither is opera” https://www.thelancet.com/journals/lanres/article/PIIS2213-2600(26)00261-4/fulltext?rss=yes Cancer is often about numbers: the ups and downs of protein, hormone, or other tumour markers; the number of weeks of chemotherapy or radiotherapy that a patient must face; the number of months or years given as an estimated length of survival d…
Effects of ambient air pollution exposure on lung function in cystic fibrosis: old stories or breaking news? http://thorax.bmj.com/cgi/content/short/81/9/821?rss=1 Ambient air pollution has short- and long-term adverse effects on health and increases morbidity and mortality in the general population.1–3 The association between air pollution and health is complex. Fluctuating pollutant concentration levels, timing of…
Global asthma and pest control: bugs and WASPs http://thorax.bmj.com/cgi/content/short/81/9/834?rss=1 Asthma affects over 300 million people worldwide and is the most common chronic lung disease in children, causing major global morbidity and mortality reflected in its inclusion in the WHO Global Action Plan1 and the United Nations 2030 Agenda.2 Asthma is driven by a person’s genetic susceptibility and immune respon…
Significance of diffusing capacity of the lungs for carbon monoxide on chronic thromboembolic pulmonary hypertension http://thorax.bmj.com/cgi/content/short/81/9/913?rss=1 Reduced diffusing capacity of the lungs for carbon monoxide (DLco) reflects microvasculopathy in chronic thromboembolic pulmonary hypertension, yet its clinical value is uncertain. In a Japanese nationwide registry (2018–2023) we studied 1270 pati…
Smoking cessation within lung cancer screening: how much more evidence is needed? http://thorax.bmj.com/cgi/content/short/81/9/830?rss=1 Low-dose CT (LDCT) screening has transformed lung cancer outcomes by enabling earlier diagnosis and reducing mortality among individuals at high risk.1 2 As programmes expand internationally, their reach continues to grow. However, screening alone cannot address the primary cause o…
Beyond detection: what happens after lung cancer screening matters more http://thorax.bmj.com/cgi/content/short/81/9/832?rss=1 Lung cancer screening (LCS) with low-dose CT (LDCT) aims to reduce lung cancer-related mortality.1 2 This benefit is achieved by detecting lung cancer at an asymptomatic, early stage, thereby enabling curative-intent treatments such as surgical resection or stereotactic radiotherapy. However…
'Mind the gap http://thorax.bmj.com/cgi/content/short/81/9/828?rss=1 Sleep and public health Sleep has been surrounded by mythical beliefs since ancient times. However, when it comes to an assessment of health, sleep has typically been neglected.1 With advances in technology in the 20th century, that led to our current understanding of sleep stages, came an increasing evidence base for sleep medicine. By now, it has…
A long time ago, in an airway far, far away: early changes in the proximal airways in IPF and their response to drug treatment http://thorax.bmj.com/cgi/content/short/81/9/825?rss=1 Idiopathic pulmonary fibrosis (IPF) is a progressive fibrosing lung disease characterised by irreversible remodelling of the distal lung and loss of respiratory function. Current models centre alveolar epithelial progenitor dysfunction i…
Creating certainty in uncertainty: improving spirometry interpretation http://thorax.bmj.com/cgi/content/short/81/9/823?rss=1 For those of us writing pulmonary function reports, how many times have we been in the situation where the results are at, or just above, or just below, the lower limit of normal? Too often, the person writing the report must make a judgement with very limited information and then write a rep…
Showing the 12 most recent of 20 posts we hold for @Respiratory_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.
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.
This channel appears in 22 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 4 November 2026 — this entry's latest reading, not the date you are reading this.
“RESPIRATORY Medicine / Pulmonology Updates” (@Respiratory_Updates), 5,267 subscribers as measured 4 November 2026. Telegram Register, tgregister.com/channel/Respiratory_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.