Evidence map›Paper›PMID 33997296›Full record

ArticleWellcome open research2019

Derivation and internal validation of a data-driven prediction model to guide frontline health workers in triaging children under-five in Nairobi, Kenya.

Alishah Mawji, Samuel Akech, Paul Mwaniki, Dustin Dunsmuir, Jeffrey Bone, Matthew O Wiens, Matthias Görges, David Kimutai, Niranjan Kissoon, Mike English and 1 more

Abstract read
In one paragraph

Article in Wellcome open research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 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

11 authors.

Alishah MawjiDepartment of Anesthesiology, Pharmacology & Therapeutics, University of British Columbia, Vancouver, British Columbia, V6T1Z3, Canada.ORCID https://orcid.org/0000-0002-1591-947X
Samuel AkechKenya Medical Research Institute/Wellcome Trust Research Programme, Nairobi, Kenya.ORCID https://orcid.org/0000-0001-5126-1225
Paul MwanikiKenya Medical Research Institute/Wellcome Trust Research Programme, Nairobi, Kenya.ORCID https://orcid.org/0000-0003-0359-8426
Dustin DunsmuirDigital Health Innovation Lab, BC Children's Hospital Research Institute, Vancouver, British Columbia, V5Z4H4, Canada.
Jeffrey BoneDepartment of Obstetrics and Gynaecology, University of British Columbia, Vancouver, British Columbia, V6T1Z4, Canada.ORCID https://orcid.org/0000-0001-7704-1677
Matthew O WiensCentre for International Child Health, BC Children's Hospital Research Institute, Vancouver, British Columbia, V5Z4H4, Canada.ORCID https://orcid.org/0000-0002-3287-5181
Matthias GörgesDepartment of Anesthesiology, Pharmacology & Therapeutics, University of British Columbia, Vancouver, British Columbia, V6T1Z3, Canada.ORCID https://orcid.org/0000-0003-2193-178X
David KimutaiMbagathi County Referral Hospital, Nairobi, Kenya.
Niranjan KissoonCentre for International Child Health, BC Children's Hospital Research Institute, Vancouver, British Columbia, V5Z4H4, Canada.ORCID https://orcid.org/0000-0002-7853-4075
Mike EnglishKenya Medical Research Institute/Wellcome Trust Research Programme, Nairobi, Kenya.ORCID https://orcid.org/0000-0002-7427-0826
Mark J AnserminoDepartment of Anesthesiology, Pharmacology & Therapeutics, University of British Columbia, Vancouver, British Columbia, V6T1Z3, Canada.ORCID https://orcid.org/0000-0001-8427-2035

Funding

Wellcome Trust 207522/Z/17/Z
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

childrendeveloping countriesmodelpredictionrisksepsistriage

Identifiers

PMID33997296
PMCPMC8097734

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.