Evidence map›Paper›PMID 39762104›Full record

ArticleBMJ open2025

Aetiological, seasonal and antibiotic susceptibility patterns of diarrhoeal diseases in Bhutan (2016-2022): a retrospective study of surveillance data.

Kinley Gyem, Sonam Pelden, Dorji Tshering, Kinley Penjor, Rinzin Wangchuk, Sangay Dorji, Jigme Tenzin, Birdi Lal Phuyel

Abstract read
In one paragraph

Article in BMJ open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Kinley GyemEnteric Zoonotic and Vector-Borne Disease Laboratory, Royal Centre for Disease Control, Thimphu, Bhutan kinley09@gmail.com.ORCID http://orcid.org/0000-0003-3280-2916
Sonam PeldenEnteric Zoonotic and Vector-Borne Disease Laboratory, Royal Centre for Disease Control, Thimphu, Bhutan.
Dorji TsheringEnteric Zoonotic and Vector-Borne Disease Laboratory, Royal Centre for Disease Control, Thimphu, Bhutan.
Kinley PenjorEnteric Zoonotic and Vector-Borne Disease Laboratory, Royal Centre for Disease Control, Thimphu, Bhutan.
Rinzin WangchukEnteric Zoonotic and Vector-Borne Disease Laboratory, Royal Centre for Disease Control, Thimphu, Bhutan.
Sangay DorjiEnteric Zoonotic and Vector-Borne Disease Laboratory, Royal Centre for Disease Control, Thimphu, Bhutan.
Jigme TenzinEnteric Zoonotic and Vector-Borne Disease Laboratory, Royal Centre for Disease Control, Thimphu, Bhutan.
Birdi Lal PhuyelEnteric Zoonotic and Vector-Borne Disease Laboratory, Royal Centre for Disease Control, Thimphu, Bhutan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThis study aimed to identify the aetiological spectrum, seasonal distribution and antimicrobial resistance patterns of diarrhoeal diseases in Bhutan. STUDY DESIGN AND

settingThe study used a cross-sectional, retrospective analysis of secondary data gathered through a passive, hospital-based sentinel surveillance for diarrhoeal disease across 12 hospitals, representing Bhutan's demographically diverse regions.

participantsA total of 3429 participants' data of all age groups who presented with diarrhoea at sentinel hospitals between 1 January 1 2016 and 31 December 2022 were analysed.

resultsDiarrhoeagenic

conclusionsDEC and

Indexed as

Anti-Bacterial AgentsDiarrheaSeasonsAdolescentAdultBhutanChildChild, PreschoolCoinfectionCross-Sectional StudiesDrug Resistance, BacterialFemaleHumansInfantInfant, NewbornMaleAnti-Bacterial AgentsEPIDEMIOLOGYGastrointestinal infectionsNeglected DiseasesObservational StudyPUBLIC HEALTH

Identifiers

PMID39762104
PMCPMC11749759

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.