Evidence map›Paper›PMID 29984140›Full record

ArticlePreventive medicine reports2018

Birth history as a predictor of adverse birth outcomes: Evidence from state vital statistics data.

Dejun Su, Kaeli Samson, Ashvita Garg, Corrine Hanson, Ann L Anderson Berry, Ge Lin, Ming Qu

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Preventive medicine reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 3 pooled it
4.7field-weighted citation impact, top 6% 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

18 citing papers in PubMed, 3 syntheses or guidelines pooled it, 30 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

7 authors at 4 institutions in 1 country.

Dejun SuDepartment of Health Promotion, College of Public Health, University of Nebraska Medical Center, United States.
Kaeli SamsonDepartment of Biostatistics, College of Public Health, University of Nebraska Medical Center, United States.
Ashvita GargDepartment of Health Promotion, College of Public Health, University of Nebraska Medical Center, United States.
Corrine HansonCollege of Allied Health Professions, University of Nebraska Medical Center, United States.
Ann L Anderson BerryDepartment of Pediatrics, College of Medicine, University of Nebraska Medical Center, United States.
Ge LinDepartment of Environmental and Occupational Health, School of Community Health Sciences, University of Nevada, Las Vegas, United States.
Ming QuEpidemiology and Health Informatics Unit, Division of Public Health, Nebraska Department of Health and Human Services, United States.
University of Nebraska Medical Center · USNebraska Department of Health and Human Services · USNebraska Medical Center · USUniversity of Nevada, Las Vegas · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

One of the most important predictors of preterm births (PTBs) or low-birth-weight births (LBWBs) is whether a mother has had a history of these birth outcomes. This study examined how different characterizations of birth history (e.g., any previous incidence of PTBs or LBWBs, immediate previous birth that was preterm or of low birth weight, and number of previous PTBs or LBWBs) were associated with PTBs or LBWBs. Based on birth records (n = 98,776) reported to the vital statistics electronic registration system in Nebraska from 2005 to 2014, mothers with a history of PTBs or LBWBs were more likely to have recurrences of these outcomes than those who did not have any history of PTBs or LBWBs. The adjusted odds ratios for recurrent PTBs ranged from 2.82 (95% CI: 2.62, 3.04) to 5.54 (95% CI: 4.67, 6.57) depending on how previous incidence of PTBs or LBWBs were characterized. The corresponding adjusted odds ratio for LBWBs ranged from 1.58 (95% CI: 1.43, 1.74) to 6.75 (95% CI: 4.96, 9.17). Relative to other measures used to characterize birth history, the use of number of previous PTBs or LBWBs allows for identifying mothers most vulnerable to recurrences of these birth outcomes. To help identify mothers at risk for future PTBs or LBWBs, it is beneficial to develop state-wide surveillance of reoccurrences for adverse birth outcomes which is feasible by integrating all separated birth records for the same mother using vital statistics data.

Indexed as

Birth historyLow birthweightPreterm birthRecurrenceVital statistics

Identifiers

PMID29984140
PMCPMC6030394
OpenAlexW2804612155

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.