Evidence map›Paper›PMID 36318140›Full record

ArticleJAMA2022

Adverse Maternal and Delivery Outcomes in Children and Very Young (Age ≤13 Years) US Adolescents Compared With Older Adolescents and Adults.

Beth L Pineles, Anthony D Harris, Katherine E Goodman

Abstract readComparative Study
In one paragraph

Article in JAMA, 2022. 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. Severe Maternal Morbidity Among Adolescents Aged 10-19 in California, 2001-2020.The Journal of adolescent health : official publication of the Society for Adolescent Medicine · 2026
    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

3 authors.

Beth L PinelesDepartment of Obstetrics & Gynecology, University of Pennsylvania Perelman School of Medicine, Philadelphia.
Anthony D HarrisDepartment of Epidemiology and Public Health, The University of Maryland School of Medicine, Baltimore.
Katherine E GoodmanDepartment of Epidemiology and Public Health, The University of Maryland School of Medicine, Baltimore.

Funding

Using natural language processing and machine learning to identify patients at high risk of potentially preventable carbapenem-resistant Enterobacterales (CRE) infectionK01HS028363 · AHRQ · UNIVERSITY OF MARYLAND BALTIMORE · PI GOODMAN, KATHERINE ELIZABETH · 2021 to 2024
$495k
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Maternal AgePregnancy ComplicationsPregnancy in AdolescencePregnancy OutcomeAdolescentAdultAge FactorsFemaleHumansPregnancyUnited StatesYoung Adult

Identifiers

PMID36318140
PMCPMC9627406

What OpenQuestion holds

Textmetadata
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.