Evidence map›Paper›PMID 26303460›Full record

SynthesisBMC pregnancy and childbirth2015

Serum screening in first trimester to predict pre-eclampsia, small for gestational age and preterm delivery: systematic review and meta-analysis.

Yan Zhong, Fufan Zhu, Yiling Ding

Abstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in BMC pregnancy and childbirth, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed, 4 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

43 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Galectins for Diagnosis and Prognostic Assessment of Human Diseases: An Overview of Meta-Analyses.Medical science monitor : international medical journal of experimental and clinical research · 2020
    Pooled it
  4. Pooled it
  5. Trial
  6. Article
  7. Article
  8. Hemodynamic Insights into Preeclampsia: Comparing Ophthalmic and Uterine Artery Resistive Indices.Medical science monitor : international medical journal of experimental and clinical research · 2025
    Article
  9. Article
  10. Article
  11. Review
  12. Review
  13. Article
  14. First Trimester Preeclampsia Screening and Prevention: Perspective in Chinese Mainland.Maternal-fetal medicine (Wolters Kluwer Health, Inc.) · 2024
    Article
  15. Review
  16. Review
  17. Observational
  18. Article
  19. Review
  20. Review
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

3 authors.

Yan ZhongThe Second Xiangya Hospital, Central South University, No.139, Middle Renmin Road, Changsha, Hunan, 410011, P.R. China. azxyq731@163.com.
Fufan ZhuThe Second Xiangya Hospital, Central South University, No.139, Middle Renmin Road, Changsha, Hunan, 410011, P.R. China. yanmie137@126.com.
Yiling DingThe Second Xiangya Hospital, Central South University, No.139, Middle Renmin Road, Changsha, Hunan, 410011, P.R. China. dylcsu@sina.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEarly assessment before the establishment of placental dysfunction has the potential to improve treatment and prognosis for clinical practice.The objective of the study is to investigate the accuracy of serum biochemical markers(Pregnancy- Associated Plasma Protein-A (PAPP-A), human Chorionic Gonadotropin (hCG), Placental Growth Factor (PlGF), Placental Protein 13 (PP13) used in first trimester serum screening in predicting preelampsia, small for gestational age (SGA) and preterm delivery.

methodsThe data sources included Medline, Embase, Cochrane library, Medion, hand searching of relevant journals, reference list checking of included articles and contact with experts. Two reviewers independently selected the articles. Two authors independently extracted data on study characteristics, quality and results.

resultsThe results showed low predictive accuracy overall. For preeclampsia, the best predictor was PlGF; LR + 4.01 (3.74, 4.28), LR-(0.67, 0.64, 0.69). The predictive value of serum markers for early preeclampsia was better than that of late preeclampsia. For SGA the best predictor was PP13; LR+ 3.70 (3.39, 4.03), LR- 0.70 (0.67, 0.73). For preterm delivery, the best predictor was PP13; LR+ 4.16 (2.72, 5.61), LR- 0.56 (0.45, 0.67).

conclusionFirst trimester screening analytes have low predictive accuracy for pre-eclampsia, small for gestational age and preterm delivery. However, the predict value of first trimester analytes is not worse than that of the second trimester markers.

Indexed as

AdultBiomarkersFemaleGalectinsHumansInfant, Small for Gestational AgeMembrane ProteinsObstetric Labor, PrematurePredictive Value of TestsPre-EclampsiaPregnancyPregnancy ProteinsPregnancy Trimester, FirstBiomarkersGalectinsLGALS13 protein, humanMembrane ProteinsPIGF protein, humanPregnancy Proteins

Identifiers

PMID26303460
PMCPMC4548561

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.