Evidence map›Paper›PMID 35629011›Full record

ArticleJournal of clinical medicine2022

Better Estimation of Spontaneous Preterm Birth Prediction Performance through Improved Gestational Age Dating.

Julja Burchard, George R Saade, Kim A Boggess, Glenn R Markenson, Jay D Iams, Dean V Coonrod, Leonardo M Pereira, Matthew K Hoffman, Ashoka D Polpitiya, Ryan Treacy and 8 more

Registry-linked trialAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of clinical medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01371019 (Proteomic Assessment of Preterm Birth), which is not on this map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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.

NCT01371019 completednot on this map

Proteomic Assessment of Preterm Birth

TypeobservationalSponsorSera Prognostics, Inc.Ran2011 to 2015Enrolled5,500ConditionsPreterm Birth
3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Anti-βArchives of gynecology and obstetrics · 2023
    Article
  3. 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

18 authors.

Julja BurchardSera Prognostics, Incorporated, Salt Lake City, UT 84109, USA.ORCID 0000-0001-9446-5180
George R SaadeDepartment of Obstetrics & Gynecology, The University of Texas Medical Branch, Galveston, TX 77555, USA.
Kim A BoggessDepartment of Obstetrics and Gynecology, Division of Maternal-Fetal Medicine, University of North Carolina, Chapel Hill, NC 27599, USA.
Glenn R MarkensonMaternal Fetal Medicine, Boston University School of Medicine, Boston, MA 02118, USA.
Jay D IamsDepartment of Obstetrics & Gynecology, The Ohio State University, Columbus, OH 43210, USA.
Dean V CoonrodDepartment of Obstetrics and Gynecology, Valleywise Health, Phoenix, AZ 85008, USA.
Leonardo M PereiraDivision of Maternal-Fetal Medicine, Oregon Health & Science University, Portland, OR 97239, USA.
Matthew K HoffmanDepartment of Obstetrics & Gynecology, Christiana Care Health System, Newark, DE 19718, USA.
Ashoka D PolpitiyaSera Prognostics, Incorporated, Salt Lake City, UT 84109, USA.
Ryan TreacySera Prognostics, Incorporated, Salt Lake City, UT 84109, USA.
Angela C FoxSera Prognostics, Incorporated, Salt Lake City, UT 84109, USA.
Todd L RandolphSera Prognostics, Incorporated, Salt Lake City, UT 84109, USA.
Tracey C FleischerSera Prognostics, Incorporated, Salt Lake City, UT 84109, USA.ORCID 0000-0002-7141-4265
Max T DuffordSera Prognostics, Incorporated, Salt Lake City, UT 84109, USA.
Thomas J GariteSera Prognostics, Incorporated, Salt Lake City, UT 84109, USA.
Gregory C CritchfieldSera Prognostics, Incorporated, Salt Lake City, UT 84109, USA.
J Jay BonifaceSera Prognostics, Incorporated, Salt Lake City, UT 84109, USA.
Paul E KearneySera Prognostics, Incorporated, Salt Lake City, UT 84109, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The clinical management of pregnancy and spontaneous preterm birth (sPTB) relies on estimates of gestational age (GA). Our objective was to evaluate the effect of GA dating uncertainty on the observed performance of a validated proteomic biomarker risk predictor, and then to test the generalizability of that effect in a broader range of GA at blood draw. In a secondary analysis of a prospective clinical trial (PAPR; NCT01371019), we compared two GA dating categories: both ultrasound and dating by last menstrual period (LMP) (all subjects) and excluding dating by LMP (excluding LMP). The risk predictor's performance was observed at the validated risk predictor threshold both in weeks 19

Indexed as

gestational agegestational age datingpreterm birthproteomic biomarker risk predictorspontaneous preterm birth

Identifiers

PMID35629011
PMCPMC9146613

What OpenQuestion holds

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Registered trials

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.