Evidence map›Paper›PMID 39363184›Full record

Observational studyBMC pregnancy and childbirth2024

Evaluating the accuracy of International Classification of Disease Perinatal Mortality (ICD-PM) codes assigned on death certificates before and after expert panel review: a mixed methods observational study.

Masoumeh Jafari, Marziyhe Meraji, Masoumeh Mirteimouri, Mohammad Heidarzadeh

Abstract readObservational Study
In one paragraph

Observational study in BMC pregnancy and childbirth, 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

4 authors.

Masoumeh JafariHealth Information Management, Department of Health Information Technology, School of Paramedical Sciences, Mashhad University of Medical Sciences, Mashhad, Iran. mzjafari1997@gmail.com.
Marziyhe MerajiHealth Information Management, Department of Health Information Technology, School of Paramedical Sciences, Mashhad University of Medical Sciences, Mashhad, Iran.
Masoumeh MirteimouriDepartment of Obstetrics and Gynecology, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.
Mohammad HeidarzadehFaculty of Medicine, Tabriz University of Medical Sciences, Tabriz, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe present study was conducted with the aim of evaluating the accuracy of International Classification of Disease Perinatal Mortality (ICD-PM) codes assigned on death certificates before and after an expert panel review.

methodThe present study was a mixed methods observational study conducted at Umm al-Benin Hospital, the sole specialized obstetrics and gynecology center affiliated with Mashhad University of Medical Sciences. The study comprised three distinct stages: (1) Collecting primary ICD-PM codes assigned to perinatal death certificates, along with other relevant information, from October 2021 to March 2022; (2) Examining the circumstances of each perinatal death case and re-identifying the causes of death through a consensus process involving a panel of experts comprising pediatricians, obstetrics and gynecology specialists, and nursing and midwifery experts; presenting the new ICD-PM code; (3) Comparing the ICD-PM codes assigned to perinatal death certificates before and after the expert panel's evaluation.

resultDuring the study period, a total of seven specialized panels were conducted to examine perinatal deaths. Out of the 71 cases, 41 were carefully reviewed by experts. These cases included 32 stillbirths and nine neonatal deaths. The examination process followed specific inclusion and exclusion criteria. The findings revealed that there were no significant changes in the causes of neonatal deaths. However, it was notable that 80% of the previously unknown causes of stillbirths were successfully identified. Notably, the occurrence of stillbirths increased by 78% due to maternal causes and conditions.

conclusionConvening panels of experts to discuss the causes of perinatal deaths can effectively reduce the percentage of unknown causes, as classified by ICD-PM. This approach also guarantees the availability of essential data for implementing effective interventions to decrease preventable perinatal deaths.

Indexed as

Cause of DeathDeath CertificatesInternational Classification of DiseasesPerinatal MortalityFemaleHumansInfant, NewbornPerinatal DeathPregnancyStillbirthCauses of deathClassificationICD-PMPerinatal mortality

Identifiers

PMID39363184
PMCPMC11448375

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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.