Evidence map›Paper›PMID 31809342›Full record

ArticleEpidemiology (Cambridge, Mass.)2020

Vital Status Ascertainment for a Historic Diverse Cohort of U.S. Women.

Anna Z Pollack, Stefanie N Hinkle, Danping Liu, Edwina H Yeung, Katherine L Grantz, Sunni L Mumford, Neil Perkins, Lindsey A Sjaarda, James L Mills, Pauline Mendola and 2 more

Abstract read
In one paragraph

Article in Epidemiology (Cambridge, Mass.), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

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

  1. Pooled it
  2. Article
  3. Postpartum Haemorrhage and Long-Term Mortality.Paediatric and perinatal epidemiology · 2025
    Article
  4. Article
  5. Article
  6. History of multifetal gestation and long-term maternal mortality.Paediatric and perinatal epidemiology · 2024
    Article
  7. Observational
  8. Article
  9. Article
  10. Infant sex at birth and long-term maternal mortality.Paediatric and perinatal epidemiology · 2023
    Article
  11. Article
  12. 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

12 authors.

Anna Z PollackFrom the Global and Community Health Department, College of Health and Human Services, George Mason University, Fairfax, VA.
Stefanie N HinkleEpidemiology Branch, Division of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD), National Institutes of Health, Bethesda, MD.
Danping LiuDivision of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD.
Edwina H YeungEpidemiology Branch, Division of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD), National Institutes of Health, Bethesda, MD.
Katherine L GrantzEpidemiology Branch, Division of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD), National Institutes of Health, Bethesda, MD.
Sunni L MumfordEpidemiology Branch, Division of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD), National Institutes of Health, Bethesda, MD.
Neil PerkinsEpidemiology Branch, Division of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD), National Institutes of Health, Bethesda, MD.
Lindsey A SjaardaEpidemiology Branch, Division of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD), National Institutes of Health, Bethesda, MD.
James L MillsEpidemiology Branch, Division of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD), National Institutes of Health, Bethesda, MD.
Pauline MendolaEpidemiology Branch, Division of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD), National Institutes of Health, Bethesda, MD.
Cuilin ZhangEpidemiology Branch, Division of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD), National Institutes of Health, Bethesda, MD.
Enrique F SchistermanEpidemiology Branch, Division of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD), National Institutes of Health, Bethesda, MD.

Funding

Pregnancy and perinatal complications and mortality: Collaborative Perinatal Project mortality linkage studyZIAHD008938 · NICHD · EUNICE KENNEDY SHRIVER NATIONAL INSTITUTE OF CHILD HEALTH & HUMAN DEVELOPMENT · PI YEUNG, EDWINA · 2014 to 2025
$1.5M
Intramural NIH HHS ZIA HD008938NICHD NIH HHS HHSN275200800002I
6 · The paper itself

Abstract

backgroundStudies linking large pregnancy cohorts with mortality data can address critical questions about long-term implications of gravid health, yet relevant US data are scant. We examined the feasibility of linking the Collaborative Perinatal Project, a large multiracial U.S. cohort study of pregnant women (n = 48,197; 1959-1966), to death records.

methodsWe abstracted essential National Death Index (NDI) (1979-2016) (n = 46,428). We performed a linkage to the Social Security Administration Death Master File through 2016 (n = 46,450). Genealogists manually searched vital status in 2016 for a random sample of women (n = 1,249). We conducted agreement analyses for women with abstracted data among the three sources. As proof of concept, we calculated adjusted associations between mortality and smoking and other sociodemographic factors using Cox proportional hazards regression.

resultsWe successfully abstracted identifying information for most of the cohort (97%). National Death Index identified the greatest proportion of participants deceased (35%), followed by genealogists (31%) and Death Master File (23%). Estimates of agreement (κ [95% confidence interval]) between National Death Index and Death Master File were lower (0.52 [0.51, 0.53]) than for National Death Index and genealogist (0.66 [0.61, 0.70]). As expected, compared with nonsmokers, smoking ≥1 pack per day was associated with elevated mortality for all vital sources and was strongest for National Death Index.

conclusionsLinking this historic cohort with mortality records was feasible and agreed reasonably on vital status when compared with other data sources. Such linkage enables future examination of pregnancy conditions in relation to mortality in a diverse U.S. cohort.

Indexed as

Cultural DiversityDeath CertificatesInformation Storage and RetrievalMortalityAdolescentAdultChildCohort StudiesFeasibility StudiesFemaleHumansMiddle AgedPregnancyUnited StatesUnited States Social Security AdministrationYoung Adult

Identifiers

PMID31809342
PMCPMC7042706

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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.