Evidence map›Paper›PMID 37795041›Full record

ArticleGates open research2023

An approach to determining the most common causes of stillbirth in low and middle-income countries: A commentary.

Robert L Goldenberg, Jaume Ordi, Dianna M Blau, Natalia Rakislova, Vardendra Kulkarni, Najia Karim Ghanchi, Sarah Saleem, Shivaprasad S Goudar, Norman Goco, Christina Paganelli and 2 more

Open access · goldAbstract read
In one paragraph

Article in Gates open research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
4.1field-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

4 citing papers in PubMed, 7 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

12 authors at 7 institutions in 5 countries.

Robert L GoldenbergObstetrics & Gynecology, Columbia University, New York, NY, USA.
Jaume OrdiISGlobal, Universitat de Barcelona, Barcelona, Spain.
Dianna M BlauCenter for Global Health, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.
Natalia RakislovaISGlobal, Universitat de Barcelona, Barcelona, Spain.ORCID https://orcid.org/0000-0001-5030-3526
Vardendra KulkarniDepartment of Pathology, Bapuji Educational Association's J.J.M. Medical College, Davangere, India.
Najia Karim GhanchiDepartment of Pathology & Microbiology, Aga Khan University, Karachi, Pakistan.
Sarah SaleemDepartment of Pathology & Microbiology, Aga Khan University, Karachi, Pakistan.ORCID https://orcid.org/0000-0002-6797-8631
Shivaprasad S GoudarWomen's and Children's Health Research Unit, KLE University, Belagavi, India.ORCID https://orcid.org/0000-0002-8680-7053
Norman GocoSocial, Statistical and Environmental Health Sciences, RTI International, Durham, NC, 27709, USA.
Christina PaganelliSocial, Statistical and Environmental Health Sciences, RTI International, Durham, NC, 27709, USA.
Elizabeth M McClureSocial, Statistical and Environmental Health Sciences, RTI International, Durham, NC, 27709, USA.ORCID https://orcid.org/0000-0001-8659-5444
PURPOSe, CHAMPS, ISGlobal, and the MITS Surveillance Alliance investigators
RTI International · USAga Khan University · PKBarcelona Institute for Global Health · ESBapuji Dental College and Hospital · INCenters for Disease Control and Prevention · USColumbia University · USKLE University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Stillbirth, one of the most common adverse pregnancy outcomes, is especially prevalent in low and middle-income countries (LMICs). Understanding the causes of stillbirth is crucial to developing effective interventions. In this commentary, investigators working across several LMICs discuss the most useful investigations to determine causes of stillbirths in LMICs. Useful data were defined as 1) feasible to obtain accurately and 2) informative to determine or help eliminate a cause of death. Recently, new tools for LMIC settings to determine cause of death in stillbirths, including minimally invasive tissue sampling (MITS) - a method using needle biopsies to obtain internal organ tissue from deceased fetuses for histology and pathogen identification in those tissues have become available. While placental histology has been available for some time, the development of the Amsterdam Criteria in 2016 has provided a useful framework to categorize placental lesions. The authors recommend focusing on the clinical history, the placental evaluation, the external examination of the fetus, and, when available, fetal tissue obtained by MITS, especially of the lung (focused on histology and microbiology) and brain/cerebral spinal fluid (CSF) and fetal blood (focused on microbiological analysis). The authors recognize that this approach may not identify some causes of stillbirth, including some genetic abnormalities and internal organ anomalies, but believe it will identify the most common causes of stillbirth, and most of the preventable causes.

Indexed as

cause of stillbirthminimally invasive tissue samplingpathologyStillbirthuseful investigations

Identifiers

PMID37795041
PMCPMC10547115
OpenAlexW4383067305

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.