Evidence map›Paper›PMID 36285882›Full record

ArticleEmerging infectious diseases2022

Incidence, Etiology, and Healthcare Utilization for Acute Gastroenteritis in the Community, United States.

Mark A Schmidt, Holly C Groom, Andreea M Rawlings, Claire P Mattison, Suzanne B Salas, Rachel M Burke, Ben D Hallowell, Laura E Calderwood, Judy Donald, Neha Balachandran and 1 more

Open access · diamondAbstract read
In one paragraph

Article in Emerging infectious diseases, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 2 pooled it
2.9field-weighted citation impact, top 7% 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

26 citing papers in PubMed, 2 syntheses or guidelines pooled it, 33 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

11 authors at 5 institutions in 1 country.

Mark A Schmidt
Holly C Groom
Andreea M Rawlings
Claire P Mattison
Suzanne B Salas
Rachel M Burke
Ben D Hallowell
Laura E Calderwood
Judy Donald
Neha Balachandran
Aron J Hall
Kaiser Permanente Center for Health Research · USOak Ridge Associated Universities · USOak Ridge Institute for Science and EducationCenters for Disease Control and Prevention · USCherokee Nation · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Knowledge of the epidemiology of sporadic acute gastroenteritis (AGE) in the United States is limited. During September 2016-September 2017, we surveyed Kaiser Permanente Northwest members in Oregon and Washington, USA, to collect data on the 30-day prevalence of dually defined AGE and diarrhea disease and related health-seeking behavior; from a subset of participants, we obtained a stool specimen. Using the iterative proportional fitting algorithm with raked weights, we generated AGE prevalence and annualized rate estimates. We detected norovirus, rotavirus, astrovirus, and sapovirus from submitted stool specimens through real-time quantitative reverse transcription PCR (qRT-PCR). We estimated a 30-day prevalence of 10.4% for AGE and 7.6% for diarrhea only; annual rates were 1.27 cases/person/year for AGE and 0.92 cases/person/year for diarrhea only. Of those with AGE, 19% sought medical care. Almost one quarter (22.4%) of stool specimens from those reporting AGE tested positive for ≥1 viral pathogen, compared with 8.2% from those without AGE.

Indexed as

Caliciviridae InfectionsGastroenteritisRotavirusChildDiarrheaFecesHumansIncidenceInfantPatient Acceptance of Health CareUnited Statesbacteriaenteric infectionsfood safetyfungigastroenteritisUnited States

Identifiers

PMID36285882
PMCPMC9622243
OpenAlexW4307425014

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.