Evidence map›Paper›PMID 38011676›Full record

ArticleBiology of reproduction2024

Evaluation of novel biomarkers for early pregnancy outcome prediction†.

Kassie J Bollig, Suneeta Senapati, Peter Takacs, Jared C Robins, Daniel J Haisenleder, Lynn A Beer, David W Speicher, Nathanael C Koelper, Kurt T Barnhart

Open access · greenAbstract read
In one paragraph

Article in Biology of reproduction, 2024. 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
0.9field-weighted citation impact, top 24% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. 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

9 authors at 5 institutions in 1 country.

Kassie J BolligDepartment of Obstetrics and Gynecology, University of Pennsylvania, Philadelphia, PA, USA.
Suneeta SenapatiDepartment of Obstetrics and Gynecology, University of Pennsylvania, Philadelphia, PA, USA.
Peter TakacsDepartment of Obstetrics and Gynecology, Eastern Virginia Medical School, Norfolk, VA, USA.
Jared C RobinsDepartment of Obstetrics and Gynecology, Northwestern University, Chicago, IL, USA.
Daniel J HaisenlederDepartment of Internal Medicine and the Center for Research in Reproduction, University of Virginia, Charlottesville, VA, USA.
Lynn A BeerCenter for Systems & Computational Biology, The Wistar Institute, Philadelphia, PA, USA.
David W SpeicherCenter for Systems & Computational Biology, The Wistar Institute, Philadelphia, PA, USA.
Nathanael C KoelperDepartment of Obstetrics and Gynecology, University of Pennsylvania, Philadelphia, PA, USA.
Kurt T BarnhartDepartment of Obstetrics and Gynecology, University of Pennsylvania, Philadelphia, PA, USA.
University of Pennsylvania · USThe Wistar Institute · USEastern Virginia Medical School · USNorthwestern University · USUniversity of Virginia · US

Funding

Development of a serum biosignature for ectopic pregnancy.R01HD076279 · NICHD · UNIVERSITY OF PENNSYLVANIA · PI BARNHART, KURT T · 2014 to 2018
$3.4M
CRR LIGAND ASSAY AND ANALYSIS CORER24HD102061 · NICHD · UNIVERSITY OF VIRGINIA · PI HAISENLEDER, DANIEL J. · 2019 to 2023
$2.2M
NICHD NIH HHS R01 HD076279NICHD NIH HHS R24 HD102061NIH HHS R01HD076279
6 · The paper itself

Abstract

objectiveTo assess performance and discriminatory capacity of commercially available enzyme-linked immunosorbent assays of biomarkers for predicting first trimester pregnancy outcome in a multi-center cohort.

designIn a case-control study at three academic centers of women with pain and bleeding in early pregnancy, enzyme-linked immunosorbent assays of biomarkers were screened for assay performance. Performance was assessed via functional sensitivity, assay reportable range, recovery/linearity, and intra-assay precision (%Coefficient of Variation). Top candidates were analyzed for discriminatory capacity for viability and location among 210 women with tubal ectopic pregnancy, viable intrauterine pregnancy, or miscarriage. Assay discrimination was assessed by visual plots, area under the curve with 95% confidence intervals, and measures of central tendency with two-sample t-tests.

resultsOf 25 biomarkers evaluated, 22 demonstrated good or acceptable assay performance. Transgelin-2, oviductal glycoprotein, and integrin-linked kinase were rejected due to poor performance. The best biomarkers for discrimination of pregnancy location were pregnancy-specific beta-1-glycoprotein 9, pregnancy-specific beta-1-glycoprotein 1, insulin-like growth factor binding protein 1, kisspeptin (KISS1), pregnancy-specific beta-1-glycoprotein 3, and beta parvin (PARVB). The best biomarkers for discrimination of pregnancy viability were pregnancy-specific beta-1-glycoprotein 9, pregnancy-specific beta-1-glycoprotein 3, EH domain-containing protein 3, KISS1, WAP four-disulfide core domain protein 2 (HE4), quiescin sulfhydryl oxidase 2, and pregnancy-specific beta-1-glycoprotein 1.

conclusionPerformance of commercially available enzyme-linked immunosorbent assays was acceptable for a panel of novel biomarkers to predict early pregnancy outcome. Of these, six and seven candidates demonstrated good discriminatory capacity of pregnancy location and viability, respectively, when validated in a distinct external population. Four markers demonstrated good discrimination for both location and viability.

Indexed as

KisspeptinsPregnancy OutcomeBiomarkersCase-Control StudiesFemaleGlycoproteinsHumansPregnancyPregnancy Trimester, FirstBiomarkersGlycoproteinsKisspeptinsbiomarkerearly pregnancyectopic pregnancy

Identifiers

PMID38011676
PMCPMC10941089
OpenAlexW4389042352

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.