Evidence map›Paper›PMID 24587386›Full record

ArticlePloS one2014

Association of meteorological factors with pediatric intussusception in subtropical china: a 5-year analysis.

Wan-liang Guo, Shu-feng Zhang, Jin-en Li, Jian Wang

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
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

12 citing papers in PubMed, 20 citations in OpenAlex.

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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

4 authors at 3 institutions in 1 country.

Wan-liang GuoRadiology Department, The Children's Hospital Affiliated to Soochow University, Suzhou, China.
Shu-feng ZhangOrthopaedics Department, Traditional Chinese Medicine Hospital of Yulin, Yulin, China.
Jin-en LiRadiology Department, The Children's Hospital Affiliated to Soochow University, Suzhou, China.
Jian WangGeneral Surgery Department, The Children's Hospital Affiliated to Soochow University, Suzhou, China.
Soochow University · CNChildren's Hospital of Suzhou University · CNYulin Orthopedics Hospital of Chinese and Western Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe aim of this study was to determine whether climate factors correlate with variations in the rate of pediatric intussusception cases presenting to the Children's Hospital in Suzhou, China. MATERIAL AND

methodsThe hospital records of 5,994 pediatric cases of intussusception who had presented between Aug 2006 and Dec 2011 were retrospectively analyzed. Demographic data and air enema reduction data were collected for each case.

resultsThe monthly rate of new intussusception cases fluctuated throughout the year generally rising from April to September with a peak from May to July. This annual cycling of intussusception incidence was highly significant over the 5 year observation period. Poisson regression analysis showed that the monthly number of intussusception cases was associated with an increase in mean temperature per month (P = 0.0001), sum of sunshine per month (P<0.0001), precipitation per month (P<0.0001), and was marginally associated with increased mean wind speed per month (P = 0.0709).

conclusionThe incidence of intussusception in Suzhou was seasonally variable with a peak in cases presenting during hotter, sunnier, and wetter months demonstrating a positive association with certain climatic factors.

Indexed as

Meteorological ConceptsSeasonsTropical ClimateChildChild, PreschoolChinaFemaleHumansInfantInfant, NewbornIntussusceptionMalePoisson DistributionRegression Analysis

Identifiers

PMID24587386
PMCPMC3938762
OpenAlexW2011058444

What OpenQuestion holds

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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.