Evidence map›Paper›PMID 28830575›Full record

ArticleEpidemiology and infection2017

A cross-sectional study of acute diarrhea in Pudong, Shanghai, China: prevalence, risk factors, and healthcare-seeking practices.

J-X Yu, W-P Zhu, C-C Ye, C-Y Xue, S-J Lai, H-L Zhang, Z-K Zhang, Q-B Geng, W-Z Yang, Q Sun and 1 more

Open access · bronzeAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Epidemiology and infection, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
0.3field-weighted citation impact, top 38% of its field
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

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 4 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. 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

11 authors at 1 institution in 2 countries.

J-X YuMOH Key Laboratory of Systems Biology of Pathogens and Dr Christophe Mérieux Laboratory,CAMS-Fondation Mérieux,Institute of Pathogen Biology, Chinese Academy of Medical Sciences & Peking Union Medical College,Beijing,China.ORCID 0000-0002-9696-2460
W-P ZhuResearch Base of Key Laboratory of Surveillance and Early-warning on Infectious Disease in China CDC, Pudong New Area Center for Disease Control and Prevention,Shanghai,China.
C-C YeResearch Base of Key Laboratory of Surveillance and Early-warning on Infectious Disease in China CDC, Pudong New Area Center for Disease Control and Prevention,Shanghai,China.
C-Y XueResearch Base of Key Laboratory of Surveillance and Early-warning on Infectious Disease in China CDC, Pudong New Area Center for Disease Control and Prevention,Shanghai,China.
S-J LaiDivision of Infectious Disease, Key Laboratory of Surveillance and Early-warning on Infectious Disease,Chinese Center for Disease Control and Prevention,Beijing,China.
H-L ZhangDivision of Infectious Disease, Key Laboratory of Surveillance and Early-warning on Infectious Disease,Chinese Center for Disease Control and Prevention,Beijing,China.
Z-K ZhangDivision of Infectious Disease, Key Laboratory of Surveillance and Early-warning on Infectious Disease,Chinese Center for Disease Control and Prevention,Beijing,China.
Q-B GengDivision of Infectious Disease, Key Laboratory of Surveillance and Early-warning on Infectious Disease,Chinese Center for Disease Control and Prevention,Beijing,China.
W-Z YangDivision of Infectious Disease, Key Laboratory of Surveillance and Early-warning on Infectious Disease,Chinese Center for Disease Control and Prevention,Beijing,China.
Q SunResearch Base of Key Laboratory of Surveillance and Early-warning on Infectious Disease in China CDC, Pudong New Area Center for Disease Control and Prevention,Shanghai,China.
Z-J LiDivision of Infectious Disease, Key Laboratory of Surveillance and Early-warning on Infectious Disease,Chinese Center for Disease Control and Prevention,Beijing,China.
Chinese Center For Disease Control and Prevention · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diarrhea is a common cause of morbidity and mortality and the incidence of diarrhea in the world has changed little over the past four decades. To assess the prevalence of and healthcare practices for diarrhea, a cross-sectional study was conducted in Pudong, Shanghai, China. In October 2014, a total of 5324 community residents were interviewed. Respondents were asked if they had experienced diarrhea (defined as ⩾3 passages of watery, loose, bloody, or mucoid stools within a 24-h period) in the previous month prior to the interview. The monthly prevalence of diarrhea was 4·1% (95% CI: 3·3-4·8), corresponding to an incidence rate of 0·54 episodes per person-year. The proportion of individuals with diarrhea who sought healthcare was 21·2% (95% CI: 13·4-29·0). Diarrhea continues to impose a considerable burden on the community and healthcare system in Pudong. Young age and travel were identified as predictors of increased diarrhea occurrence.

Indexed as

Acute DiseaseAdolescentAdultAgedChildChild, PreschoolChinaCross-Sectional StudiesDiarrheaFemaleHumansIncidenceInfantInfant, NewbornMaleMiddle AgedDiarrheaepidemiologyhealthcare-seeking behaviorprevalencerisk factors

Identifiers

PMID28830575
PMCPMC9148769
OpenAlexW2745847308

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.