Evidence map›Paper›PMID 39725448›Full record

SynthesisBMJ paediatrics open2024

Neonatal death prediction scores: a systematic review and meta-analysis.

Felipe C S Veloso, Carine R A Barros, Samir B Kassar, Ricardo Q Gurgel

Abstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in BMJ paediatrics open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Data variables reported during neonatal transport: a systematic literature review.Journal of perinatology : official journal of the California Perinatal Association · 2026
    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

4 authors.

Felipe C S VelosoFederal University of Sergipe, São Cristovão, Brazil fcamilo.veloso@gmail.com.ORCID 0000-0002-0632-0510
Carine R A BarrosFederal University of Alagoas, Maceió, Brazil.
Samir B KassarFederal University of Alagoas, Maceió, Brazil.
Ricardo Q GurgelFederal University of Sergipe, São Cristovão, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo compare, through a systematic review and meta-analysis of observational accuracy studies, the main existing neonatal death prediction scores.

methodSystematic review and meta-analysis of observational accuracy studies. The databases accessed were MEDLINE, ELSEVIER, LILACS, SciELO, OpenGrey, Open Access Thesis and Dissertations, EMBASE, Web of Science, SCOPUS and Cochrane Library. For qualitative analysis, Quality Assessment of Diagnostic Accuracy Studies 2 was used. For the quantitative analysis, the area under the curve and the SE were used, as well as the inverse of the variance as a weight measure, DerSimonian and Laird as a measure of random effects, Higgins' I² as an estimate of heterogeneity, Z as a final measure with a 95% confidence level.

results55 studies were analysed, 8 scores were compared in a total of 193 849 newborns included. The most accurate neonatal death prediction score was Score for Neonatal Acute Physiology Perinatal Extension II (SNAPPE II) (0.89 (95% CI 0.86 to 0.92)) and the least accurate was gestational age (0.75 (95% CI 0.71 to 0.79)).

conclusionSNAPPE II was the most accurate score found in this study. Despite this, the choice of score depends on the situation and setting in which the newborn is inserted, and it is up to the researcher to analyse and decide which one to use based on practicality and the possibility of local implementation. Given this, it is interesting to carry out new prospective studies to improve the prediction of neonatal deaths around the world. PROSPERO REGISTRATION NUMBER: CRD42023462425.

Indexed as

Perinatal DeathGestational AgeHumansInfant MortalityInfant, NewbornObservational Studies as TopicEpidemiologyMortalityNeonatology

Identifiers

PMID39725448
PMCPMC11683888

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.