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Channel

Drug & Poison Information Channel

@DPIChannel

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

1,943subscribers

-6 since we began measuring on 6 August 2026

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

Register entry

Telegram ID-1001003950873
TypeChannel
Username@DPIChannel
CreatedBetween 1 September 2015 and 31 December 2015— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live23 August 2026
Measurements held5
Confirmed unchanged1 time, most recently 23 August 2026
On Telegramt.me/DPIChannel

Growth

1,9431,9491,9466 August 2026 — 1,949 subscribers6 August 2026 — 1,949 subscribers16 August 2026 — 1,948 subscribers19 August 2026 — 1,945 subscribers23 August 2026 — 1,943 subscribers6 August 202623 August 2026
5 measurements spanning 17 days, net -6. 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 1,942–1,950 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
23 Aug 2026, 16:271,943-2
19 Aug 2026, 21:351,945-3
16 Aug 2026, 19:361,948-1
6 Aug 2026, 12:161,949no change
6 Aug 2026, 12:071,949first reading

Engagement

20 posts held, back to 28 August 2025the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 2 pagesof 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 11 July 2026. An engagement rate over an empty window would be a number about nothing.

Recent posts

11 Jul 2026, 00:10 UTC138 viewsread 7 August 2026
Forwarded from @Dev_Pharmacy_Career_ChannelPhoto

https://mewb.org/learning-activities/16

11 Jul 2026, 00:10 UTC139 viewsread 7 August 2026
Forwarded from @Dev_Pharmacy_Career_ChannelPhoto

https://mewb.org/learning-activities/183

27 Jun 2026, 17:25 UTC265 viewsread 7 August 2026

🚦Regulatory Alert: EMA & FDA Move to Revoke Avacopan (Tavneos) Medicine: Tavneos (avacopan) Class: Oral complement C5a-receptor antagonist Indication: Severe, active Granulomatosis with Polyangiitis (GPA) or Microscopic Polyangiitis (MPA) in adults, alongside standard therapy. The Update The European Medicines Agency’s (EMA) committee has recommended revoking the EU marketing authorization for Avacopan, concluding it

19 Jun 2026, 19:35 UTC241 viewsread 7 August 2026

كيف نفهم أرقام الـ (Hazard Ratio) بشكل عام؟ إذا كان الـ HR يساوي 1: العلاجان متطابقان تماماً، ولا يوجد أي فرق في الخطورة بين المجموعتين. إذا كان الـ HR أقل من 1 (مثل 0.58): العلاج الجديد أفضل، لأنه يقلل من احتمالية حدوث الشيء السيء (تفاقم المرض) ويطيل فترة استقرار المريض. إذا كان الـ HR أكبر من 1 (مثلاً 1.5): العلاج الجديد أسوأ، لأنه يزيد من خطر تفاقم المرض بنسبة 50%.

26 May 2026, 20:24 UTC343 viewsread 7 August 2026

*Dear Doctor,* I would highly appreciate your participation in our research study titled: *“Effectiveness and Diagnostic Reliability of Tele-dermatology in Primary Care among Family Physicians in Riyadh, Saudi Arabia.”* The survey takes approximately 3 minutes to complete and aims to assess Family physicians’ experiences with virtual dermatology consultations. Participation is voluntary, and all responses are an

6 Apr 2026, 05:50 UTC500 viewsread 7 August 2026

For more than 60 years, Metformin has been prescribed to hundreds of millions of people with Type 2 Diabetes. While clinicians knew it was effective, the exact mechanism behind its action remained only partially understood. Researchers at Baylor College of Medicine have now uncovered a crucial aspect of this mystery. Their findings, published in Science Advances, suggest that metformin works directly through the brai

3 Mar 2026, 12:19 UTC403 viewsread 7 August 2026

A systematic review is not about reading everything. It is about reading with intention, and with responsibility toward existing evidence. The paper I’m sharing today is a firm reminder of that. Several principles in the paper are worth slowing down for. A systematic review answers a clearly defined research question, not a vague topic. Clarity at the question level determines every decision that follows, from sea

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

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

“Drug & Poison Information Channel” (@DPIChannel), 1,943 subscribers as measured 23 August 2026. Telegram Register, tgregister.com/channel/DPIChannel.

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.