Evidence map›Paper›PMID 39474344›Full record

ArticleHealth science reports2024

Can International Classification of Disease Perinatal Mortality (ICD-PM) be a solution to overcome neglected tragedy? A scoping reviews.

Marziyhe Meraji, Masoumeh Jafari

Abstract readScoping Review
In one paragraph

Article in Health science reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

2 authors.

Marziyhe MerajiHealth Information Management, Department of Health Information Technology, School of Paramedical Sciences Mashhad University of Medical Sciences Mashhad Iran.
Masoumeh JafariHealth Information Management, Department of Health Information Technology, School of Paramedical Sciences Mashhad University of Medical Sciences Mashhad Iran.ORCID 0000-0002-6361-6617

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Over 5 million perinatal deaths occur annually worldwide, with a significant proportion of them being preventable. The International Classification of Disease Perinatal Mortality (ICD-PM) is the first globally developed classification system for categorizing the causes of perinatal deaths. The objective of this study is to identify and describe the experiences gained from the international utilization of ICD-PM. Method: A scoping review based on Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews (PRISMA-SCR) was conducted through a comprehensive search using relevant keywords in Web of Science, PubMed, and Scopus from January 2016 to April 20, 2022 to identify relevant studies. The selection of studies was based on predefined inclusion and exclusion criteria. After removing duplicate studies and reviewing titles, abstracts, and full texts, a total of 32 studies were included in the analysis. Results: The primary search ended up with 229 studies, of which 32 articles were included in the final analysis. Based on the results of the content analysis conducted on the selected studies, six main themes and eight strategies were identified. Conclusion: The findings suggest that the utilization of ICD-PM on a global scale has been limited. The forthcoming advancement of ICD presents a chance to assess and enhance ICD-PM to establish it as a universally recognized standard system for classifying perinatal mortalities.

Indexed as

classification of perinatal mortalityICD‐PMInternational Classification of Diseasesperinatal deaths

Identifiers

PMID39474344
PMCPMC11516124

What OpenQuestion holds

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Registered trials

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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.