Evidence map›Paper›PMID 34142723›Full record

ArticleEuropean journal of clinical investigation2021

Performance of early risk assessment tools to predict the later development of gestational diabetes.

Grammata Kotzaeridi, Julia Blätter, Daniel Eppel, Ingo Rosicky, Martina Mittlböck, Gülen Yerlikaya-Schatten, Christian Schatten, Peter Husslein, Wolfgang Eppel, Evelyn A Huhn and 2 more

Open access · hybridAbstract read
In one paragraph

Article in European journal of clinical investigation, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
3.1field-weighted citation impact, top 8% 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

19 citing papers in PubMed, 1 synthesis or guideline pooled it, 28 citations in OpenAlex.

  1. Pooled it
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  11. Risk Estimation of Gestational Diabetes Mellitus in the First Trimester.The Journal of clinical endocrinology and metabolism · 2023
    Article
  12. [Gestational diabetes mellitus (Update 2023)].Wiener klinische Wochenschrift · 2023
    Article
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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

12 authors at 4 institutions in 3 countries.

Grammata KotzaeridiDepartment of Obstetrics and Gynaecology, Medical University of Vienna, Vienna, Austria.
Julia BlätterDepartment of Obstetrics and Gynaecology, Medical University of Vienna, Vienna, Austria.
Daniel EppelDepartment of Obstetrics and Gynaecology, Medical University of Vienna, Vienna, Austria.
Ingo RosickyDepartment of Obstetrics and Gynaecology, Medical University of Vienna, Vienna, Austria.
Martina MittlböckCenter of Medical Statistics, Informatics, and Intelligent Systems, Section for Clinical Biometrics, Medical University of Vienna, Vienna, Austria.
Gülen Yerlikaya-SchattenDepartment of Obstetrics and Gynaecology, Medical University of Vienna, Vienna, Austria.
Christian SchattenDepartment of Obstetrics and Gynaecology, Medical University of Vienna, Vienna, Austria.
Peter HussleinDepartment of Obstetrics and Gynaecology, Medical University of Vienna, Vienna, Austria.
Wolfgang EppelDepartment of Obstetrics and Gynaecology, Medical University of Vienna, Vienna, Austria.
Evelyn A HuhnDepartment of Obstetrics and Gynaecology, University Hospital Basel, Basel, Switzerland.
Andrea TuraMetabolic Unit, CNR Institute of Neuroscience, Padova, Italy.
Christian S GöblDepartment of Obstetrics and Gynaecology, Medical University of Vienna, Vienna, Austria.ORCID https://orcid.org/0000-0002-3922-7443
Medical University of Vienna · ATNeuroscience Institute · ITStatistics Austria · ATUniversity Hospital of Basel · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSeveral prognostic models for gestational diabetes mellitus (GDM) are provided in the literature; however, their clinical significance has not been thoroughly evaluated, especially with regard to application at early gestation and in accordance with the most recent diagnostic criteria. This external validation study aimed to assess the predictive accuracy of published risk estimation models for the later development of GDM at early pregnancy.

methodsIn this cohort study, we prospectively included 1132 pregnant women. Risk evaluation was performed before 16 + 0 weeks of gestation including a routine laboratory examination. Study participants were followed-up until delivery to assess GDM status according to the IADPSG 2010 diagnostic criteria. Fifteen clinical prediction models were calculated according to the published literature.

resultsGestational diabetes mellitus was diagnosed in 239 women, that is 21.1% of the study participants. Discrimination was assessed by the area under the ROC curve and ranged between 60.7% and 76.9%, corresponding to an acceptable accuracy. With some exceptions, calibration performance was poor as most models were developed based on older diagnostic criteria with lower prevalence and therefore tended to underestimate the risk of GDM. The highest variable importance scores were observed for history of GDM and routine laboratory parameters.

conclusionsMost prediction models showed acceptable accuracy in terms of discrimination but lacked in calibration, which was strongly dependent on study settings. Simple biochemical variables such as fasting glucose, HbA1c and triglycerides can improve risk prediction. One model consisting of clinical and laboratory parameters showed satisfactory accuracy and could be used for further investigations.

Indexed as

Blood PressureEthnicityAdultBlood GlucoseCohort StudiesDiabetes, GestationalFastingFemaleGlycated HemoglobinHumansMedical History TakingPregnancyPregnancy in ObesityPrenatal DiagnosisRisk AssessmentROC CurveBlood GlucoseGlycated Hemoglobinhemoglobin A1c protein, humanTriglyceridesearly gestationgestational diabetes mellitusrisk prediction model

Identifiers

PMID34142723
PMCPMC9285036
OpenAlexW3166238930

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.