Channel
@OncoNut
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
570subscribers
+30 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1004410352772 |
|---|---|
| Type | Channel |
| Username | @OncoNut |
| Description | هر روز با دانش بروز تغذیه و رژیمدرمانی در سرطانها مدیر کانال: دکتر مهدی امیرپور (متخصص تغذیه بالینی) @AmrPur |
| Created | Between 1 June 2026 and 30 July 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 6 August 2026 |
| Measurements held | 3 |
| On Telegram | t.me/OncoNut |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 6 Aug 2026, 18:04 | 570 | no change |
| 6 Aug 2026, 10:20 | 570 | +30 |
| 6 Aug 2026, 06:49 | 540 | first reading |
20 posts held, back to 30 July 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 pageof Telegram’s post history, 20 posts per page.
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. It is computed over the 13 of 17 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 6 August 2026 |
|---|---|
| Posts held | 20 (30 July 2026 – 6 August 2026) |
| Views total | 7,976 |
| Reactions total | 59 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 6 Aug 2026, 18:04 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.
Lifetime counters from Telegram’s own channel header, read 6 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
59 reactions across 13 posts, in 3 distinct kinds. The most used accounts for 55.9% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 33 | 55.9% | |
| 👍 | 24 | 40.7% | |
| 👏 | 2 | 3.39% |
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 13 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 59reactions 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 30 July 2026 to 6 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.
داروهای لاغری GLP-1؛ امیدی تازه برای مقابله با انواع سرطان 🔹فانا: مجموعه فزایندهای از شواهد نشان میدهند داروهای GLP-1 که به طور گسترده برای کاهش وزن و دیابت استفاده میشوند، میتوانند در برابر بسیاری از انواع سرطان محافظت ایجاد کنند 🔹نتایج بیش از ۲۴ مطالعه نشان داد بیمارانی که داروهای GLP-1 را مصرف میکنند، در مقایسه با افرادی که این داروها را مصرف نمیکنند، خطر کمتری برای ابتلا به سرطان و پیشرفت بیماری دارند، می…
داروهای GLP-1 با کاهش خطر ابتلا به سرطان مرتبط هستند 🔹فانا: یافتههای جدید نشان داد داروهای GLP-1 که برای درمان دیابت و کاهش وزن مصرف میشوند، ممکن است بر خطر ابتلا به سرطان تاثیر بگذارند و اغلب آن را کاهش میدهند اما گاهی هم احتمالا آن را افزایش میدهند 🔹محققان آمریکایی پس از بررسی ۱۰ سال سوابق پزشکی هزاران مصرفکننده داروهای دیابت نوع ۲ و کاهش وزن ویکتوزا، اوزمپیک و وگووی نوو نوردیسک و مونجارو و زپباند ایلای لیل…
🔺️OncoNut🔻 🔺️تغذیه و آنکولوژی🔻 pinned a photo
🔺️OncoNut🔻 🔺️تغذیه و آنکولوژی🔻 pinned «https://t.me/OncoNut»
نبض پژوهش ۶ | BMI یا دور کمر؛ کدام شاخص برای پیشبینی خطر سرطان بهتر است؟ ❇️ اگرچه دور کمر به دلیل بازتاب بهتر چربی احشایی، شاخص دقیقتری نسبت به BMI تلقی میشود، نتایج این مطالعه نشان داد که هر دو شاخص در پیشبینی خطر اغلب سرطانها عملکردی تقریباً مشابه دارند. علت اصلی، همبستگی بالای BMI و دور کمر در سطح جمعیت است. ❇️ با این حال، در برخی سرطانهای مرتبط با سیگار تفاوتهای اندکی مشاهده شد؛ احتمالاً به این دلیل که …
👍3❤1
نبض پژوهش ۵ | چاقی؛ عامل خطری برای اغلب سرطانها ❇️ مرور گسترده دادههای اپیدمیولوژیک نشان میدهد که BMI بالاتر با افزایش خطر ۱۹ نوع سرطان مرتبط است؛ از جمله سرطانهای کلیه، کبد، پانکراس، کیسه صفرا، آندومتر، پستان پس از یائسگی و همچنین برخی سرطانهایی که پیشتر شواهد کافی برای آنها وجود نداشت (مانند لوسمی، لنفوم غیرهوچکین، مثانه و گلیوما). ❇️ شدت این ارتباط در سرطانهای مختلف یکسان نیست و احتمالاً از مکانیسمهای م…
❤3👍1
🔴🔴🔴🔴🔴🔴🔴🔴🔴🔴🔴🔴🔴🔴🔴🔴🔴 🔺 پست معرفی کانال رو برای علاقهمندان به حوزه تغذیه و رژیمدرمانی در سرطانها ارسال کنید. 👆👆👆👆👆👆👆👆👆👆👆👆👆👆👆👆👆 🔻 به زودی محتواهای علمی و کاربردی جدیدتری در کانال منتشر خواهد شد. 💢 @OncoNut | تغذیه و آنکولوژی
https://t.me/OncoNut
عصاره کتاب ۶ | ارزیابی تغذیهای در بدخیمیهای هماتولوژیک ۲ 🔷 مداخله تغذیهای در هماتوانکولوژی باید بر اساس نوع سرطان، شدت بیماری و ماهیت درمان، فردیسازی شود، نه صرفاً بر اساس تشخیص کلی «سرطان خون». 🔶 اختلالات شایعی مانند بیماری کلیوی، دیابت نوع ۲، هایپرگلایسمی ناشی از کورتیکواستروئیدها، تغییرات پروفایل لیپیدی و پوکی استخوان باید در ارزیابی اولیه و پیگیریهای تغذیهای مدنظر قرار گیرد. 📕 منبع: Oncology Nutrition fo…
❤5
عصاره کتاب ۵ | ارزیابی تغذیهای در بدخیمیهای هماتولوژیک ۱ 🔷 ارزیابی جامع تغذیهای در بیماران مبتلا به سرطانهای خونی باید متناسب با نوع بدخیمی انجام شود. برخلاف بسیاری از تومورهای ارگانها (Solid Tumors) که معمولاً مسیر بالینی مشابهتری دارند، بدخیمیهای هماتولوژیک طیف بسیار متنوعی از نظر سیر بیماری، شدت درمان و نیازهای تغذیهای نشان میدهند. 🔶 برخی سرطانهای هماتولوژیک مانند CLL و لنفوم فولیکولار روند آهستهتری د…
❤4
مروارید بالینی ۶ | انرژی و پروتئین مورد نیاز در بیمار هایپرمتابولیک ✴️ بیمار مبتلا به سرطانی که دارای زخمهای گوارشی باز است، مشکل تنفسی دارد و Drainهای متعدد به بدنش متصل است، بیماری هایپرمتابولیک محسوب میشود که نیازمند 35 Kcal/Kg/day انرژی و 2.5-1.5 g/Kg/day پروتئین جهت تأمین نیازهای کالری و پروتئیناش است. #مروارید_بالینی 💢 @OncoNut | تغذیه و آنکولوژی
👍3❤2
مروارید بالینی ۵ | تداخل غذا-داروی اگزالیپلاتین ✴️ در بیماران مبتلا به سرطان کولون که ویال اگزالیپلاتین (Oxaliplatin) دریافت میکنند، تا ۵ روز بعد از مصرف دارو، باید از مصرف غذاها و نوشیدنیهای سرد اجتناب شود. ❇️ علت آن پیشگیری از نوروپاتی مرتبط با درمان یا احساس گزگز و بیحسی گذرای دستها، پاها و گلو است. #مروارید_بالینی 💢 @OncoNut | تغذیه و آنکولوژی
👍3
Showing the 12 most recent of 20 posts we hold for @OncoNut. 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.
Citation-graph rank — 75,108 of 1,160,990entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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.
Named by 3 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.
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.
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 6 August 2026 — this entry's latest reading, not the date you are reading this.
“🔺️OncoNut🔻 🔺️تغذیه و آنکولوژی🔻” (@OncoNut), 570 subscribers as measured 6 August 2026. Telegram Register, tgregister.com/channel/OncoNut.
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.