Evidence map›Paper›PMID 26156710›Full record

SynthesisBMC pediatrics2015

Predictors of treatment failure for non-severe childhood pneumonia in developing countries--systematic literature review and expert survey--the first step towards a community focused mHealth risk-assessment tool?

Eric D McCollum, Carina King, Robert Hollowell, Janet Zhou, Tim Colbourn, Bejoy Nambiar, David Mukanga, Deborah C Hay Burgess

Abstract readSystematic Review
In one paragraph

Synthesis in BMC pediatrics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 2 pooled it
–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

17 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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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

8 authors.

Eric D McCollumDepartment of Pediatrics, Division of Pulmonology, Johns Hopkins School of Medicine, Baltimore, USA. Eric.D.McCollum@gmail.com.
Carina KingInstitute for Global Health, University College London, London, UK. c.king@ucl.ac.uk.
Robert HollowellThe Boston Consulting Group, Boston, USA. Hollowell.Robert@bcg.com.
Janet ZhouBill & Melinda Gates Foundation, Seattle, USA. Janet.Zhou@gatesfoundation.org.
Tim ColbournInstitute for Global Health, University College London, London, UK. t.colbourn@ucl.ac.uk.
Bejoy NambiarInstitute for Global Health, University College London, London, UK. b.nambiar@ucl.ac.uk.
David MukangaBill & Melinda Gates Foundation, Seattle, USA. David.Mukanga@gatesfoundation.org.
Deborah C Hay BurgessBill & Melinda Gates Foundation, Seattle, USA. Debbie.Burgess@gatesfoundation.org.

Funding

Pulse oximetry for childhood pneumonia in rural BangladeshK01TW009988 · FIC · JOHNS HOPKINS UNIVERSITY · PI MCCOLLUM, ERIC DOUGLASS · 2014 to 2018
$704k
FIC NIH HHS K01 TW009988FIC NIH HHS K01TW009988
6 · The paper itself

Abstract

backgroundImproved referral algorithms for children with non-severe pneumonia at the community level are desirable. We sought to identify predictors of oral antibiotic failure in children who fulfill the case definition of World Health Organization (WHO) non-severe pneumonia. Predictors of greatest interest were those not currently utilized in referral algorithms and feasible to obtain at the community level.

methodsWe systematically reviewed prospective studies reporting independent predictors of oral antibiotic failure for children 2-59 months of age in resource-limited settings with WHO non-severe pneumonia (either fast breathing for age and/or lower chest wall indrawing without danger signs), with an emphasis on predictors not currently utilized for referral and reasonable for community health workers. We searched PubMed, Cochrane, and Embase and qualitatively analyzed publications from 1997-2014. To supplement the limited published evidence in this subject area we also surveyed respiratory experts.

resultsNine studies met criteria, seven of which were performed in south Asia. One eligible study occurred exclusively at the community level. Overall, oral antibiotic failure rates ranged between 7.8-22.9%. Six studies found excess age-adjusted respiratory rate (either WHO-defined very fast breathing for age or 10-15 breaths/min faster than normal WHO age-adjusted thresholds) and four reported young age as predictive for oral antibiotic failure. Of the seven predictors identified by the expert panel, abnormal oxygen saturation and malnutrition were most highly favored per the panel's rankings and comments.

conclusionsThis review identified several candidate predictors of oral antibiotic failure not currently utilized in childhood pneumonia referral algorithms; excess age-specific respiratory rate, young age, abnormal oxygen saturation, and moderate malnutrition. However, the data was limited and there are clear evidence gaps; research in rural, low-resource settings with community health workers is needed.

Indexed as

Developing CountriesMobile ApplicationsTelemedicineAlgorithmsAnti-Bacterial AgentsChildChild, PreschoolCommunity Health ServicesHumansInfantPneumonia, BacterialReferral and ConsultationRisk AssessmentTreatment FailureWorld Health OrganizationAnti-Bacterial Agents

Identifiers

PMID26156710
PMCPMC4496936

What OpenQuestion holds

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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.