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 10 September 2026 and assigned it the closest of 31 fixed categories, at 56% 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
34 measurements spanning 50 days, net -231. 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 26,885–27,186 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 34
Measured (UTC)
Subscribers
Change
25 Sept 2026, 10:02
26,920
-34
17 Sept 2026, 10:15
26,954
-5
15 Sept 2026, 07:21
26,959
-4
13 Sept 2026, 15:59
26,963
-5
11 Sept 2026, 18:59
26,968
-12
9 Sept 2026, 05:16
26,980
-25
5 Sept 2026, 22:41
27,005
-7
3 Sept 2026, 19:15
27,012
-11
1 Sept 2026, 14:39
27,023
-5
31 Aug 2026, 15:04
27,028
-10
30 Aug 2026, 14:57
27,038
-3
29 Aug 2026, 13:56
27,041
-4
28 Aug 2026, 14:12
27,045
-1
27 Aug 2026, 13:48
27,046
-5
25 Aug 2026, 14:47
27,051
-4
24 Aug 2026, 16:55
27,055
-9
23 Aug 2026, 00:15
27,064
-15
21 Aug 2026, 13:53
27,079
-9
20 Aug 2026, 16:18
27,088
-5
19 Aug 2026, 13:55
27,093
first reading
Engagement
34 posts held, back to 12 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 69 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
4.43%
avg views ÷ 26,920 subscribers
Avg views / post
1,190
9 posts measured
Reaction rate
0.792%
reactions ÷ views · ER floor
Posts in window
9
of 34 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
Window
Rolling 30 days · latest post in window 28 September 2026
Posts held
34 (12 June 2026 – 28 September 2026)
Views total
10,739
Reactions total
85
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
30 Sept 2026, 02:10 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
≈996
Videos
≈212
Links
≈615
Lifetime counters from Telegram’s own channel header, read 30 September 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
378 reactions across 33 posts, in 4 distinct kinds. The most used accounts for 63.2% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
239
63.2%
👍
128
33.9%
👏
8
2.12%
😍
3
0.794%
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 34 of the 34 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 384 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 34 most recent posts we hold, published 12 June 2026 to 28 September 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.
🌀 تحليل ال D-dimer في حالة ال pulmonary embolism بيكون good negative sign وليس good positive بمعنى لو شكيت إن الحالة دي PE وحاولت تجمع ال criteria بتاعتها على ال Well's score لقيتها low probability وكان ال D-dimer negative فساعتها تقدر تـ exclude pulmonary embolism بقلب مطمئن 😇
أما كون ال D-dimer إيجابي بشكل مستقل عن باقي ال criteria فده ليس له أي معنى لأن ال D-dimer يعتبر acute phase reactant ممكن يعلى لعشرين سبب أ…
🌀 تحاليل طبية لازم يمر ٢ - ٣ شهور عشان يبقى النتيجة مظبوطة و لو اتعملت قبل المدة دي يبقى النتائج غير دقيقة.
1️⃣- تحليل السكر التراكمي HbA1c في متابعة مرضى السكر لازم يمر من ٢-٣ شهور من بداية العلاج أو تظبيط الجرعات، و التحليل قبل ما تعدي المدة دي غلط.
2️⃣- تحليل ال TSH في متابعة خمول الغدة الدرقية لازم يمر شهرين من بداية العلاج أو تعديل الجرعات، أما التحليل في مدة أقل من دي غلط.
3️⃣- تحليل الأنيميا بعد العلاج بحق…
🌀 لا تنسَ إن وقت ال cardiac arrest فبداية الـ CPR واستمراريته أهم من الـ intubation..
في حد بيتيب كويس خير وبركة، مفيش حد ف بدل م نقعد نحفّر ونكسّر سنان ونضيع دقايق من غير لا CPR ولا أكسجين فنركب oral airway وأمبو باج وننفخ لحد م ييجي حد بيتيب كويس، أهم حاجة الـ CPR ميقفش أبدًا..
د. أسامة
🌀 بعد جلسة النيبوليزر
(بالذات لو فيها كورتيزون زي البلميكورت)خلي المريض يشطف بقه بمية ويرميها فورا وما يبلعهاش!
حركة في ثانيتين تحمي المريض من فطريات الفم البيضا وبحة الصوت وجفاف الحلق..
د. دينا حسن
🌀 طبيعية الـ Lipase مع ارتفاع الـ Amylase لا تستبعد تمامًا Acute pancreatitis، لكن لازم نكون دقيقين: الـLipase عادةً أكتر حساسية ونوعية، لذلك لو طبيعي لازم نفكر بقوة في تشخيصات تانية
أهم أسباب حدوث Pancreatitis بإنزيمات طبيعية أو غير مرتفعة بشكل كافي:
Timing :
غير مناسب للعينة: سحب مبكر جدًا أو متأخر بعد عودة الإنزيمات للطبيعي
Severe hypertriglyceridemia:
قد تسبب interference في القياس وتظهر الإنزيمات أقل من حقيقتها…
🌀 لما يجيلك عيان بــ Acute Focal Neurological Deficit فده Stroke إلى أن يثبت العكس 🔥
طيب الجملة دي هستفاد منها ايه مادام كدة كدة في أكتر من تشخيص وهحاول أفرق بينهم قبل العلاج 🧐
هتستفاد إنك وانت بتاخد هستوري وبتعمل الفحص بتاعك هتكون ممشي العيان في مسار ال stroke لحد ما يثبت العكس ✋🏻
هو يعني ايه focal deficit أصلا 🙄
من إسمها هو مشكلة وفي نقطة محددة في المخ فأنا بشوف أثرها إن فيه function محددة عطلت من المخ ... زي ايه …
🩸 ليه Blood Gas من أهم التحاليل في الطوارئ؟
تحليل غازات الدم ABG / VBG مش مجرد أرقام بنبص عليها ونعدّيها… ده تحليل ممكن يديك صورة سريعة جدًا عن حالة المريض في دقائق 👇
🔹 1️⃣ تقييم الـ Acid–Base balance
تعرف هل المريض عنده Acidosis ولا Alkalosis، وهل السبب Metabolic ولا Respiratory.
🔹 2️⃣ تقييم التهوية Ventilation
الـ PCO₂ بيساعدك تعرف هل المريض بيعمل CO₂ retention ولا لأ، وده مهم جدًا في حالات الـ respiratory failu…
📘 أهم أسباب الـ Sinus Tachycardia
الـ Sinus Tachycardia مش تشخيص في حد ذاتها… دي غالبًا استجابة من الجسم لمشكلة لازم نعرف سببها.
أهم الأسباب:
1️⃣ أسباب طبيعية:
- Exercise
- Anxiety أو panic
- Pregnancy
2️⃣ زيادة احتياج الجسم:
- Fever
- Pain
- Sepsis
- Hyperthyroidism
3️⃣ نقص الـ circulating Volume:
- Dehydration
- Hemorrhage
- Vomiting أو diarrhea
4️⃣ نقص وصول الأكسجين:
- Anemia
- Hypoxia
- Pulmonary emboli…
🌀 10 معلومات مهمه جدا عن الضغط لازم تكون في بالك 🙏
🔷مريض الضغط لما بيجي الطوارئ وضغطه عالي مسموح ليك توطي الضغط بمعدل بس 20%من ال mean arterial blood pressure ودا ليه معامله ممكن ترجعلها علشان لو قللت الضغط زياده انت كدا تمنع وصول الدم للاعضاء وكانك دخلته في ischemia
🔷مريض الضغط اللي متاح تنزل ليه الضغط بسرعه هم حالتين حاله اتخشخصت cerebral hemorrhage أو aortic dissection فأنت بتقلل الضغط علشان تقلل النزيف حتى لو …
🌀 2026 ESC Guidelines for the management of cardiovascular disease and chronic kidney disease, in collaboration with the European Renal Association(ERA)
🌀 مهم جدا في عيان ال hepatic لما يكون جاي ب DCL أننا قبل مانتسرع ونقول أنه hepatic encephalopathy
أننا نستبعد الأسباب التانيه اللي تعمل DCL
مرضي كتير اعتقدنا انهم HE وطلعوا hypoglycemia
واتحسن بشويه جلوكوز
ومرضي كتير اتحجزوا علي HE وطلع stroke
عشان كدا لازم نمشي systematic
احنا عندنا اسباب ال Coma ممكن نحصرها في
Neurological causes or
Metabolic causes
هنفرق بينهم
▶️history
Acute or chronic DCL
Past history of neurolo…
🌀 لما يبقى عندك مريض عنده انيميا
ما تطلبش Ferritin بس
لانه Acute phase reactant هيعلى لو فيه أي inflammation or infection أو chronic disease
وبالتالي ممكن العيان يبقى عنده أنيميا نقص حديد ويطلع طبيعي أو حتى عالي في الظروف دي
الحل
إنك تطلب معاه ESR و CRP
أو
إنك تطلب Iron profile كامل بمعنى:
Serum Iron
TIBC
وتحسب منهم الـ Transferrin Saturation
بإنك تقسم الـ Serum Iron على الـ TIBC وتضربهم في 100
آخر ملحوظة: قبل…
❤12👍2
Showing the 12 most recent of 34 posts we hold for @medicine99. 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
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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
Named by 5 registered channels — 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.
Channels Telegram recommends alongside this one
Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
Read from Telegram’s recommendation API, most recently 11 September 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
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.
orthopedic surgery books @orthobooksandlectures · 21,062 Telegram ranks this channel #3 of 66 here — alongside 65 others — read 25 September 2026
مراجع و كتب و برامج طبية @medicalrefrencess · 52,824 Telegram ranks this channel #15 of 83 here — alongside 82 others — read 24 August 2026
Dr.nadine Alaa sherif @gynaandobsdrnadine · 27,679 Telegram ranks this channel #27 of 67 here — alongside 66 others — read 10 September 2026
📝 Usmle In Arabic 📝 @usmle_in_arabic · 75,957 Telegram ranks this channel #30 of 76 here — alongside 75 others — read 26 August 2026
PostGraduate 🎓| MW @PostGrad_Med · 40,839 Telegram ranks this channel #39 of 88 here — alongside 87 others — read 30 August 2026
Osmosis @Osmosis2024 · 23,589 Telegram ranks this channel #51 of 83 here — alongside 82 others — read 18 September 2026
Internal Medicine | MW @Medical_Patna · 45,296 Telegram ranks this channel #52 of 91 here — alongside 90 others — read 28 August 2026
This channel appears in 7 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 25 September 2026 — this
entry's latest reading, not the date you are reading this.
“GP Doctor 👨🏻⚕️👩🏻⚕️” (@medicine99), 26,920 subscribers as measured 25 September 2026. Telegram Register, tgregister.com/channel/medicine99.
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.