Evidence map›Paper›PMID 42303434›Full record

ReviewBMJ global health2026

Aligning neonatal sepsis triage diagnostics with WHO target product profiles in low- and middle-income countries.

Birgitta Gleeson, Benjamin Blumel, Ana Belen Ibarz Pavon, Rebecca P Kirby, Cannon Hansen, Berra Erkosar, Naomi E Spotswood, Yasir Bin Nisar, Kara M Palamountain

Abstract readReview
In one paragraph

Review in BMJ global health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Birgitta GleesonAMR, FIND, Geneva, Switzerland birgitta.gleeson@finddx.org.ORCID 0009-0003-0791-7735
Benjamin BlumelFIND, Geneva, Switzerland.
Ana Belen Ibarz PavonFIND, Geneva, Switzerland.ORCID 0000-0002-8986-3448
Rebecca P KirbyNorthwestern University Kellogg School of Management, Evanston, Illinois, USA.ORCID 0000-0001-8724-7871
Cannon HansenDepartment of Bioengineering, Rice University, Houston, Texas, USA.ORCID 0009-0005-3173-7528
Berra ErkosarFIND, Geneva, Switzerland.
Naomi E SpotswoodBurnet Institute, Melbourne, Victoria, Australia.ORCID 0000-0002-1044-4604
Yasir Bin NisarDepartment of Maternal, Newborn, Child and Adolescent Health and Ageing, World Health Organization, Geneve, Switzerland.ORCID 0000-0002-9720-5699
Kara M PalamountainNorthwestern University Kellogg School of Management, Evanston, Illinois, USA.ORCID 0000-0002-8055-9706

Funding

UK Department of Health and Social Care UKH-GAMR04
6 · The paper itself

Abstract

Neonatal sepsis is a leading cause of infant morbidity and mortality in low- and middle-income countries (LMICs), yet despite this, progress in the development and implementation of effective diagnostics has been limited. Current diagnostic methods rely on clinical assessments of nonspecific signs and symptoms, limited laboratory testing and technologies that are inaccessible, unaffordable or unsuitable for resource-constrained settings. There is an urgent need for reliable, affordable and context-appropriate point-of-care diagnostics.This analysis synthesises evidence across current and emerging diagnostic strategies for neonatal sepsis, including clinical algorithms, host-response biomarkers, haematological parameters, continuous monitoring and artificial intelligence-based digital platforms. We assess their performance, operational feasibility in LMICs and alignment with the WHO Target Product Profile (TPP) for neonatal sepsis, including requirements for highly sensitive triage, feasibility in non-hospital settings and suitability for use at the point of care in LMICs.We identified promising existing technologies and emerging approaches that could be used to address the challenges of diagnosing neonatal sepsis in LMICs. These include host-response biomarkers that offer greater accuracy than those currently used, as well as affordable technologies that can improve current predictive algorithms. Taken together, these findings support a move towards integrated, TPP-aligned diagnostic strategies that combine affordable point-of-care testing, routine clinical data and digital decision support to improve early detection, rationalise antibiotic use and reduce neonatal mortality.

Indexed as

Developing CountriesNeonatal SepsisTriageBiomarkersHumansInfant, NewbornPoint-of-Care SystemsResource-Limited SettingsWorld Health OrganizationBiomarkersDiagnostics and toolsGlobal HealthReview

Identifiers

PMID42303434
PMCPMC13288953

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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.