👩⚕️ Канал педиатров и детских врачей — тех, кто помогает детям расти здоровыми.
📌 Клинические фишки, разборы кейсов, гайдлайны, лайфхаки с приёма
🎓 Вебинары, мини-курсы и анонсы обучающих программ
Created
Between 1 March 2021 and 31 March 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
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 11 September 2026 and assigned it the closest of 31 fixed categories, at 83% 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.
Growth
56 measurements spanning 92 days, net -245. 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 11,807–12,126 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 56
Measured (UTC)
Subscribers
Change
7 Nov 2026, 08:41
11,844
-3
6 Nov 2026, 10:39
11,847
+3
5 Nov 2026, 12:10
11,844
-4
4 Nov 2026, 10:21
11,848
-2
3 Nov 2026, 13:29
11,850
-4
2 Nov 2026, 10:09
11,854
-2
1 Nov 2026, 09:46
11,856
-5
31 Oct 2026, 13:21
11,861
-2
30 Oct 2026, 12:04
11,863
-5
29 Oct 2026, 09:46
11,868
-1
28 Oct 2026, 07:16
11,869
-3
27 Oct 2026, 10:35
11,872
-2
26 Oct 2026, 11:25
11,874
-5
24 Oct 2026, 14:37
11,879
-1
23 Oct 2026, 16:21
11,880
-1
22 Oct 2026, 15:57
11,881
-7
21 Oct 2026, 13:46
11,888
-3
20 Oct 2026, 07:11
11,891
-2
19 Oct 2026, 03:47
11,893
-5
18 Oct 2026, 03:27
11,898
first reading
Engagement
116 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 60 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
2.73%
avg views ÷ 11,844 subscribers
Avg views / post
323
31 posts measured
Reaction rate
0.903%
reactions ÷ views · ER floor
Posts in window
31
of 116 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. It is computed over the 24 of 31 measured posts that carry a reaction reading, and over those same posts' views.
What these figures were computed from
Window
Rolling 30 days · latest post in window 7 November 2026
Posts held
116 (30 July 2026 – 7 November 2026)
Views total
10,021
Reactions total
73
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
8 Nov 2026, 08:08 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
≈1,890
Videos
≈341
Links
≈2,100
Lifetime counters from Telegram’s own channel header, read 8 November 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.
Video runtime
2m 14s
Average length
1m 07s
Measured directly from 2 videos with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no ≈ mark.
Reaction mix
239 reactions across 82 posts, in 9 distinct kinds. The most used accounts for 59.4% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
142
59.4%
👍
39
16.3%
🔥
37
15.5%
👌
12
5.02%
😁
2
0.837%
🙏
2
0.837%
🤔
2
0.837%
🥰
2
0.837%
💯
1
0.418%
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 83 of the 116 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 239 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 116 most recent posts we hold, published 30 July 2026 to 7 November 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.
Recent posts
Telegram’s own ‘edited’ marker: 3 of 31 posts held from the last 30 days (9.68%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
Как обозначить границы общения с родителями и не потерять доверие?
Продолжим утреннюю тему.
Иногда врачу сложно устанавливать границы не потому, что он не умеет отказывать, а потому, что непонятно, как объяснить правила общения без ощущения, что ты оставляешь семью одну.
Предлагаем три формулировки, которые можно адаптировать под свою практику.
1. Обозначаем время общения
«Вы можете написать мне уточняющие вопрос…
Педиатр рекомендует родителям соблюдать режим сна. А сам отвечает на сообщения в 23:40
Рабочий день давно закончился, но телефон продолжает сообщать:
«Доктор, можно один вопрос?»
«Посмотрите, пожалуйста, фотографию».
«Температура снова поднялась. Что делать?»
И вот Вы уже мысленно вернулись в кабинет.
В педиатрии отношения врача и семьи часто выходят за пределы одного приёма. Родители тревожатся за ребёнка, задают…
«Наладьте режим дня». Почему этого бывает недостаточно?
Вернёмся к нашему семилетнему пациенту.
Предположим, мы оценили характер и тяжесть перенесённых инфекций, не обнаружили признаков, требующих дополнительного обследования, и обсудили с мамой организацию дня.
Наши рекомендации вполне разумны:
✅ обеспечить достаточную продолжительность сна;
✅ сократить избыточное экранное время;
✅ добавить регулярную физическую …
Как именно протекали заболевания? Были ли осложнения?44%
Что больше всего беспокоит маму и какого результата она ждёт?19%
Как организованы сон, питание и физическая активность ребёнка?50%
Что семья уже пробовала изменить самостоятельно?25%
The shares total 138%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not shown.
Ребёнок часто болеет. Мама просит «что-нибудь для иммунитета». С чего вы начнёте?
На приёме мальчик 7 лет.
За последние месяцы несколько раз перенёс ОРВИ. Мама обеспокоена: «Он постоянно болеет. Может, нам нужны витамины? Или что-нибудь для укрепления иммунитета?»
Начинаем собирать анамнез.
Постепенно выясняется:
▪️ ребёнок часто засыпает ближе к полуночи;
▪️ утром его трудно разбудить;
▪️ после школы большую час…
🔴 Через 15 минут начинаем!
Коллеги, уже совсем скоро встречаемся на вебинаре «ОАК у детей: почему одинаковые показатели скрывают разные болезни?»
🩸 Как правильно интерпретировать результаты анализа? Какие отклонения действительно важны? И почему похожие показатели не всегда означают одинаковый диагноз?
Будем разбираться вместе!
🎁 Не забывайте: всем участникам подготовили слайд-сет вебинара, а за регистрацию можно…
🩸 Уже через час разбираемся в диагностических ловушках ОАК!
Коллеги, сегодня в 18:00 МСК встречаемся на бесплатном вебинаре:
«ОАК у детей: почему одинаковые показатели скрывают разные болезни?»
Поговорим о том, почему:
▫️ Одни и те же изменения в анализе могут сопровождать разные заболевания.
▫️ Нейтрофилёз не всегда указывает на бактериальную инфекцию.
▫️ Нормальные показатели ОАК не исключают серьёзную патологию.…
🩸 ОАК у детей: одинаковые показатели — разные заболевания. Как не ошибиться?
У двух детей похожие показатели крови, но совершенно разные жалобы и клиническая картина.
У одного ребёнка изменения в анализе могут быть связаны с инфекцией, у другого — требовать поиска совершенно иной причины.
Как разобраться, что действительно важно, а какие показатели нельзя оценивать отдельно от клинической картины?
📌 Уже сегодня 5…
🩸 ОАК в норме. А ребёнок тяжело дышит. Что будем делать?
Коллеги, продолжаем разбирать диагностические ловушки!
👦 Пациент, 3 года.
Жалобы:
▫️ Температура до 39 °C.
▫️ Кашель.
▫️ Выраженная слабость.
При осмотре — учащённое дыхание, втяжение уступчивых мест грудной клетки.
Результаты ОАК:
▫️ Лейкоциты — 8,2 × 10⁹/л
▫️ Нейтрофилы — 48%
▫️ Лимфоциты — 43%
Выраженных отклонений в анализе нет.
Но можем ли мы на это…
🩸 5 ошибок при интерпретации ОАК у детей.
Кажется, что может быть проще общего анализа крови? Но даже привычные показатели иногда приводят к неправильным диагностическим выводам.
Собрали 5 распространённых ошибок, о которых стоит помнить педиатру.
Ошибка № 1. Оценивать лейкоцитарную формулу только по процентам
Нейтрофилы — 80%. Это нейтрофилёз?
Не спешите!
При лейкоцитах 4 × 10⁹/л абсолютное количество нейтрофило…
🩸 Одинаковый ОАК — разная тактика. Разбираем вчерашний случай!
Коллеги, вчера мы предложили вам оценить двух пациентов с практически одинаковыми показателями крови:
▫️ Лейкоциты — 15 × 10⁹/л
▫️ Нейтрофилы — 75%
▫️ Лимфоциты — 18%
Но клиническая картина у детей существенно различалась.
Начнём с самого анализа.
❗️Первая ошибка — оценивать лейкоцитарную формулу только по процентам.
Для корректной интерпретации необх…
🩸 Два ребёнка. Почти одинаковый ОАК. Но одинаковая ли тактика?
Коллеги, представьте двух пациентов на приёме.
👦 Пациент № 1. Мальчик, 4 года.
Лихорадка до 39 °C четвёртый день, кашель, учащённое дыхание. При аускультации — локальное ослабление дыхания справа.
👧 Пациент № 2. Девочка, 4 года.
Первый день болезни. Температура 38,5 °C, насморк, умеренный кашель. Ребёнок активен, пьёт, признаков дыхательной недостаточн…
❤5
Showing the 12 most recent of 116 posts we hold for @progressive_pediatrician. 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.
Posts recorded as deleted after publishing
We recorded 12 posts on @progressive_pediatrician as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.
A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.
First seen missing
15 August 2026
Most recent seen missing
27 August 2026
Median time before seen missing
2 days
Seen missing in the last 30 days
0
Polls
The 6 most recent of 10 polls we hold for this entry, as Telegram rendered them when we read the post. A poll’s figures keep moving after that, so each one is dated.
Как именно протекали заболевания? Были ли осложнения?44%
Что больше всего беспокоит маму и какого результата она ждёт?19%
Как организованы сон, питание и физическая активность ребёнка?50%
Что семья уже пробовала изменить самостоятельно?25%
The shares total 138%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not shown.
Подросток потерял сознание в душном помещении. Через несколько секунд пришёл в себя, ориентирован, самочувствие быстро восстановилось. Какой признак в анамнезе больше всего заставит насторожиться и искать потенциально опасную причину обморока?
длительное стояние перед эпизодом13%
чувство тошноты и потемнение в глазах перед потерей сознания30%
обморок во время физической нагрузки47%
быстрое восстановление после эпизода10%
Shares as published. No per-option vote count is published by Telegram, so none is shown.
Ребёнок внезапно стал вялым, заторможенным, плохо отвечает на вопросы. Какой быстрый показатель нельзя забыть проверить при оценке нарушения сознания?
уровень глюкозы крови97%
гемоглобин1%
С-реактивный белок2%
общий анализ мочи0%
Shares as published. No per-option vote count is published by Telegram, so none is shown.
Percentages only — there are no per-option vote counts here, because Telegram publishes none. The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.
The shares need not add up to 100. Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.
Read from the 116 most recent posts we hold, published 30 July 2026 to 7 November 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.
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
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.
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.
Справочник педиатра @pediatrhelp · 19,277 Telegram ranks this channel #2 of 92 here — alongside 91 others — read 2 October 2026
Заметки детского врача @DrButriy · 137,626 Telegram ranks this channel #9 of 95 here — alongside 94 others — read 13 August 2026
Помощник педиатра | МедикУм @pomoshnik_pediatra · 23,739 Telegram ranks this channel #11 of 94 here — alongside 93 others — read 17 September 2026
Профессия – педиатр @profpediatrician · 19,646 Telegram ranks this channel #19 of 98 here — alongside 97 others — read 1 October 2026
Занудная педиатрия — Роман Шиян @drshnr · 37,027 Telegram ranks this channel #23 of 94 here — alongside 93 others — read 1 September 2026
MAMA_SINKA @mama_sinka · 40,651 Telegram ranks this channel #23 of 96 here — alongside 95 others — read 29 August 2026
Юлия Сидорова |Детский эндокринолог| @sidorovasay · 26,584 Telegram ranks this channel #33 of 93 here — alongside 92 others — read 11 September 2026
Docma.ru - ДОКАЗАТЕЛЬНАЯ МЕДИЦИНА @Docma_ru · 41,707 Telegram ranks this channel #36 of 98 here — alongside 97 others — read 29 August 2026
Аллергология для чайников с Ольгой Жоголевой @allergo_doc · 39,376 Telegram ranks this channel #43 of 96 here — alongside 95 others — read 31 August 2026
Юрист для врача Ангелина Романовская @mfcexpert_news · 29,892 Telegram ranks this channel #61 of 96 here — alongside 95 others — read 8 September 2026
Reclin - live @reclinlive · 31,471 Telegram ranks this channel #63 of 88 here — alongside 87 others — read 7 September 2026
ninavaccina @ninavaccina · 90,349 Telegram ranks this channel #67 of 96 here — alongside 95 others — read 17 August 2026
MD.school | Медицинский онлайн-университет | Доказательная медицина @medicina_discendi · 21,248 Telegram ranks this channel #79 of 98 here — alongside 97 others — read 25 September 2026
This channel appears in 13 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 7 November 2026 — this
entry's latest reading, not the date you are reading this.
“Педиатрия. Созвездие” (@progressive_pediatrician), 11,844 subscribers as measured 7 November 2026. Telegram Register, tgregister.com/channel/progressive_pediatrician.
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.