Evidence map›Paper›PMID 29051781›Full record

ArticleObstetric medicine2017

Prediction of adverse pregnancy outcomes by extreme values of first trimester screening markers.

Marina S Gomes, Mariana Carlos-Alves, Vera Trocado, Diana Arteiro, Paula Pinheiro

Open access · goldAbstract read
In one paragraph

Article in Obstetric medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.0field-weighted citation impact, top 13% 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

5 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
  2. Recurrent preterm birth risk assessment for two delivery subtypes: A multivariable analysis.Journal of the American Medical Informatics Association : JAMIA · 2022
    Article
  3. Article
  4. Article
  5. 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

5 authors at 1 institution in 1 country.

Marina S GomesDepartment of Obstetrics and Gynecology, Alto Minho Local Healthcare Unit, Viana do Castelo, Portugal.
Mariana Carlos-AlvesDepartment of Obstetrics and Gynecology, Alto Minho Local Healthcare Unit, Viana do Castelo, Portugal.
Vera TrocadoDepartment of Obstetrics and Gynecology, Alto Minho Local Healthcare Unit, Viana do Castelo, Portugal.
Diana ArteiroDepartment of Obstetrics and Gynecology, Alto Minho Local Healthcare Unit, Viana do Castelo, Portugal.
Paula PinheiroDepartment of Obstetrics and Gynecology, Alto Minho Local Healthcare Unit, Viana do Castelo, Portugal.
University of Minho · PT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo determine the association between extreme values of first trimester markers and adverse pregnancy outcomes.

methodsA retrospective cohort study of 916 women who underwent first-trimester combined screening during 2015 was performed. Extreme values of NT, pregnancy-associated plasma protein-A (PAPP-A) and free β-hCG, and their association with adverse pregnancy outcomes were analyzed.

resultsLow PAPP-A (<10th percentile) was associated with an increased risk for preeclampsia (adjusted odds ratio (AOR) 4.13), fetal growth restriction (AOR 3.94) and abruptio placentae (AOR 52.63). Abnormally low or high free β-hCG, high PAPP-A or increased NT was not associated with an increased risk for adverse outcomes. DISCUSSION: PAPP-A <10th percentile could be associated with an increased risk for adverse outcomes. However, the majority of patients with these events do not have abnormal PAPP-A and few patients with PAPP-A <10th percentile will have an adverse outcome.

Indexed as

Abruptio placentaefetal growthhuman chorionic-gonadotrophin beta-subunitnuchal translucencypreeclampsiapregnancy-associated plasma protein-A

Identifiers

PMID29051781
PMCPMC5637998
OpenAlexW2616006275

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.