Evidence map›Paper›PMID 25592030›Full record

ArticleEpidemiology and infection2015

Physician practices in requesting stool samples for patients with acute gastroenteritis, France, August 2013-July 2014.

D Van Cauteren, C Turbelin, L Fonteneau, T Hanslik, H De Valk, T Blanchon

Abstract read
In one paragraph

Article in Epidemiology and infection, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

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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

6 authors.

D Van CauterenDepartment of Infectious Diseases,Institut de Veille Sanitaire (InVS) (French Institute for Public Health Surveillance),Saint-Maurice,France.
C TurbelinInserm U707,27 rue de Chaligny,75571 Paris cedex 12,France.
L FonteneauDepartment of Infectious Diseases,Institut de Veille Sanitaire (InVS) (French Institute for Public Health Surveillance),Saint-Maurice,France.
T HanslikInserm U707,27 rue de Chaligny,75571 Paris cedex 12,France.
H De ValkDepartment of Infectious Diseases,Institut de Veille Sanitaire (InVS) (French Institute for Public Health Surveillance),Saint-Maurice,France.
T BlanchonInserm U707,27 rue de Chaligny,75571 Paris cedex 12,France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A better understanding of physician practices in requesting stool samples for patients with acute gastroenteritis (AG) is needed to more accurately interpret laboratory-based surveillance data. A survey was conducted in General Practitioners (GPs) between August 2013 and July 2014 to estimate the proportion of stool samples requested for patients with AG and to identify factors associated with GP requests for a stool sample. National health insurance (NHI) data together with surveillance data from a French Sentinel GP network were also used to estimate the proportion of stool samples requested. This proportion was estimated at 4·3% in the GP survey and 9·1% (95% confidence interval 8·7-9·6) using NHI data. Multivariate analysis indicated that the ratio of stool samples requested was almost five times higher in patients with bloody diarrhoea and 10-20 times higher in patients with a long duration of illness before consultation. Laboratory-based surveillance data underestimates the actual burden of disease as fewer than one in 10 AG cases consulting their GP will be requested to submit a stool sample for laboratory testing. This underestimation varies by pathogen as stool samples are more frequently requested for severe illness.

Indexed as

Acute DiseaseAdolescentAdultAgedBacteriological TechniquesChildChild, PreschoolDiarrheaFecesFemaleFranceGastroenteritisGeneral PracticeHumansInfantInfant, NewbornFrancegastroenteritisGeneral Practitionerstool sample

Identifiers

PMID25592030
PMCPMC9151038

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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.