Evidence map›Paper›PMID 35887622›Full record

ArticleJournal of personalized medicine2022

Fetal Growth Restriction: Comparison of Biometric Parameters.

Carolin Marchand, Jeanette Köppe, Helen Ann Köster, Kathrin Oelmeier, Ralf Schmitz, Johannes Steinhard, Arrigo Fruscalzo, Karol Kubiak

Abstract read
In one paragraph

Article in Journal of personalized medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
–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

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. 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

8 authors.

Carolin MarchandDepartment of Gynecology and Obstetrics, St. Franziskus Hospital Muenster, 48145 Muenster, Germany.ORCID 0000-0002-7913-9894
Jeanette KöppeInstitute of Biostatistics and Clinical Research, University of Muenster, 48149 Muenster, Germany.ORCID 0000-0003-3640-2995
Helen Ann KösterPractice of Gynecology and Obstetrics, Schloßstraße 107-8, 12163 Berlin, Germany.ORCID 0000-0003-0675-1262
Kathrin OelmeierDepartment of Gynecology and Obstetrics, University Hospital of Muenster, 48149 Muenster, Germany.
Ralf SchmitzDepartment of Gynecology and Obstetrics, University Hospital of Muenster, 48149 Muenster, Germany.
Johannes SteinhardDepartment of Fetal Cardiology, Heart and Diabetes Center North Rhine-Westphalia, 32545 Bad Oeynhausen, Germany.ORCID 0000-0002-0374-8562
Arrigo FruscalzoDepartment of Gynecology and Obstetrics, HFR Fribourg, Chemin des Pensionnats 2-6, 1708 Fribourg, Switzerland.ORCID 0000-0002-8958-6049
Karol KubiakDepartment of Gynecology and Obstetrics, St. Franziskus Hospital Muenster, 48145 Muenster, Germany.ORCID 0000-0002-5577-7111

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of this study was to identify growth-restricted fetuses using biometric parameters and to assess the validity and clinical value of individual ultrasound parameters and ratios, such as transcerebellar diameter/abdominal circumference (TCD/AC), head circumference/abdominal circumference (HC/AC), and femur length/abdominal circumference (FL/AC). In a retrospective single-center cross-sectional study, the biometric data of 9292 pregnancies between the 15th and 42nd weeks of gestation were acquired. Statistical analysis included descriptive data, quantile regression estimating the 10th and 90th percentiles, and multivariable analysis. We obtained clinically noticeable results in predicting small-for-gestational-age (SGA) and fetal growth restriction (FGR) fetuses at advanced weeks of gestation using the AC with a Youden index of 0.81 and 0.96, respectively. The other individual parameters and quotients were less suited to identifying cases of SGA and FGR. The multivariable analysis demonstrated the best results for identifying SGA and FGR fetuses with an area under the curve of 0.95 and 0.96, respectively. The individual ultrasound parameters were better suited to identifying SGA and FGR than the ratios. Amongst these, the AC was the most promising individual parameter, especially at advanced weeks of gestation. However, the highest accuracy was achieved with a multivariable model.

Indexed as

fetal biometryfetal growth retardationfetal sonographic parametersfetal sonographic ratiosfetal ultrasoundsmall for gestational age

Identifiers

PMID35887622
PMCPMC9317726

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Registered trials

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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.