Evidence map›Paper›PMID 24522520›Full record

ArticleMaternal and child health journal2014

Understanding perinatal death: a systematic analysis of New York City fetal and neonatal death vital record data and implications for improvement, 2007-2011.

Erica J Lee, Melissa Gambatese, Elizabeth Begier, Antonio Soto, Tara Das, Ann Madsen

Abstract readComparative Study
PubMed Publisher
In one paragraph

Article in Maternal and child health journal, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Perinatal Mortality Analysis in Espírito Santo, Brazil, 2008 to 2017.International journal of environmental research and public health · 2021
    Article
  4. Article
  5. Article
  6. Article
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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

6 authors.

Erica J LeeNew York City Department of Health and Mental Hygiene, Bureau of Vital Statistics, 125 Worth St. Room 204, CN-7, New York, NY, USA, elee7@health.nyc.gov.
Melissa Gambatese
Elizabeth Begier
Antonio Soto
Tara Das
Ann Madsen

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We aimed to compare demographic, medical, and cause-of-death information reported for third-trimester fetal and neonatal death vital records collected in New York City (NYC) before and after implementation of the revised fetal death certificate to identify: (1) the limitations of combining fetal and neonatal death records for the purpose of perinatal death prevention; and (2) improvement opportunities for fetal death vital records registration. Using Chi squared tests, we compared data completeness and cause-of-death information between third-trimester NYC fetal (n = 1,930) and neonatal deaths (n = 735) from 2007 to 2011. We also compared fetal death data before and after the 2011 implementation of the 2003 United States (US) Standard Report of Fetal Death and an electronic reporting system. Compared with neonatal deaths, fetal death data were generally less complete (P < 0.0001). Fetal death data much more frequently reported an ill-defined cause of death (67 vs. 5 %). Most ill-defined reported causes of fetal death (73 %) were attributed to stillbirth synonyms (e.g., "fetal demise"). Ill-defined causes of fetal death decreased from 68 to 61 % (P < 0.01) after 2011. Both data completeness and ill-defined causes of death varied widely by hospital. In NYC, fetal deaths lack demographic, medical, and cause-of-death information compared with neonatal deaths, with implications for research that uses combined perinatal mortality data sets. Electronic implementation of the US Standard Report of Fetal Death minimally improved cause-of-death information. Substantial variability by hospital suggests opportunities for improvement exist.

Indexed as

Cause of DeathDeath CertificatesFetal MortalityPerinatal DeathFemaleFetal DeathGestational AgeHospital RecordsHumansInfant, NewbornInternational Classification of DiseasesInternetMaleNew York CityQuality ImprovementRecords

Identifiers

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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.