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 14 September 2026 and assigned it the closest of 31 fixed categories, at 97% 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 why it has no browse page of its own yet.
Growth
13 measurements spanning 42 days, net -42. 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 3,233–3,287 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
17 Sept 2026, 10:20
3,239
-5
13 Sept 2026, 04:01
3,244
-5
9 Sept 2026, 06:20
3,249
-5
4 Sept 2026, 05:40
3,254
-4
31 Aug 2026, 23:18
3,258
-5
28 Aug 2026, 22:07
3,263
-4
19 Aug 2026, 08:36
3,267
-4
16 Aug 2026, 15:36
3,271
-2
12 Aug 2026, 15:04
3,273
-1
9 Aug 2026, 20:38
3,274
-6
6 Aug 2026, 17:00
3,280
-1
6 Aug 2026, 04:48
3,281
no change
6 Aug 2026, 01:11
3,281
first reading
Engagement
18 posts held, back to 4 September 2024 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 3 pages 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 18 posts for this entry, the most recent from 19 January 2026. An engagement rate over an empty window would be a number about nothing.
Reaction mix
17 reactions across 6 posts, in 4 distinct kinds. The most used accounts for 64.7% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👏
11
64.7%
🥰
3
17.6%
🫡
2
11.8%
🏆
1
5.88%
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 6 of the 18 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 17 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 18 most recent posts we hold, published 4 September 2024 to 19 January 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.
تعلم الفلسفة الطبية لمقاومة الجراثيم في الانتانات البولية UTIs
🩺 الحالة الأولى:
راجعت امرأة 58 سنة
لديها سكري نمط 2
CKD stage 3 (Cr 1.8)
لا قثطرة بولية
التهاب مثانة بسيط عرضي
عولجت تجريبياً بـ نيتروفورانتوين
بعد 72 ساعة:
تحسن جزئي
استمرار عكارة البول
لا حرارة
قمنا بإجراء زرع بول
الزرع:
E. coli
حساس مخبرياً للنيتروفورانتوين
مقاوم لـ TMP-SMX وCIP
#المناقشة:
إن نيتروفورانتوين “الحساس على طبق الزرع”… فشل في علاج الا…
نقص الصوديوم الذي لا ينبغي علاجه
ربما مررت يوماً أثناء دراستك لنقص الصوديوم على عنوان اسمه (reset osmostat )
وغالبًا قرأت هذا العنوان مرات عديدة دون أن تفهم المقصود منه، تابع معي هذا النقاش:
1) ما هو Reset Osmostat؟ (الفكرة الأساسية)
هو حالة يُعاد فيها ضبط نقطة التوازن (Set Point) لتنظيم الصوديوم والأسمولية في الجسم إلى مستوى أخفض من الطبيعي، بينما تبقى آليات التنظيم نفسها سليمة تماماً.
بمعنى:
الجسم يقرر أن Na = 1…
#فرصة_عمل للأطباء
طبيب اختصاصي - داخلية عامة
> مكان العمل:
مستشفى الشرطة بحرستا
> للتقديم عبر الرابط :
https://ee.kobotoolbox.org/x/lyeF1d8a
#فرصة_عمل
طبيب اختصاصي - تخدير وانعاش
> مكان العمل:
مستشفى الشرطة بحرستا
> للتقديم عبر الرابط :
https://ee.kobotoolbox.org/x/dOINDdHT
#فرصة_عمل
طبيب اختصاصي - عناية مشددة
> مكان العمل:
مستشفى الشرطة بحرستا
> للتقديم عبر الرابط :
https://ee.kobotoolbox.org/x/h…
الحكمة ليست بكثرة الأدوية، إنما بدقة الاختيار بناءً على الأدلة
[مثبطات SGLT2 هي أدوية ناجحة ولكن ليس لكل حالات القصور الكلوي المزمن]
"لماذا لا نستخدم SGLT2 inhibitors في داء الكلية متعددة الكيسات ADPKD؟"
في السنوات الأخيرة، أصبحت مثبطات ناقل الصوديوم-الغلوكوز المشارك من النمط الثاني (SGLT2i) أحد أبرز الأدوية في عالم أمراض الكلية، نظرًا لقدرتها المثبتة على إبطاء التراجع في معدل الرشح الكبيبي (eGFR) لدى مرضى القصور ال…
Showing the 12 most recent of 18 posts we hold for @alaamed5th. 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.
Mentions
Named by 1 registered channel — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it.
Named by
Channels on the register whose posts name this channel's handle.
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.
سماعة حكيم الإعلامية @sma3ah · 59,323 Telegram ranks this channel #62 of 77 here — alongside 76 others — read 22 August 2026
This channel appears in 1 seed channel's Telegram-generated recommendation list 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 17 September 2026 — this
entry's latest reading, not the date you are reading this.
“عيــادة رعـايـة الكلية والتحضير لزرع الكلى، الدكتور علاء الدين القدور، دمشق، سوريا” (@alaamed5th), 3,239 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/alaamed5th.
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.
