Evidence map›Paper›PMID 30755448›Full record

Observational studyBMJ open2019

Prediction of fetal loss in Chinese pregnant patients with systemic lupus erythematosus: a retrospective cohort study.

Jiayue Wu, Wei-Hong Zhang, Jinghang Ma, Chunde Bao, Jinlin Liu, Wen Di

Abstract readObservational Study
In one paragraph

Observational study in BMJ open, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 2 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

15 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Machine Learning for Predicting Stillbirth: A Systematic Review.Reproductive sciences (Thousand Oaks, Calif.) · 2025
    Pooled it
  2. Pooled it
  3. Review
  4. Dynamic Associations between Ambient PMEnvironment & health (Washington, D.C.) · 2026
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
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  11. Article
  12. Article
  13. Article
  14. Review
  15. [Pregnancy with lupus erythematosus-an update].Zeitschrift fur Rheumatologie · 2020
    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

6 authors.

Jiayue WuDepartment of Obstetrics and Gynecology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.ORCID 0000-0002-6247-9489
Wei-Hong Zhang *International Centre for Reproductive Health (ICRH), Ghent University, Gent, Belgium.
Jinghang MaDepartment of Obstetrics and Gynecology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
Chunde BaoDepartment of Rheumatology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
Jinlin LiuSchool of Public Policy and Administration, Xi'an Jiaotong University, Xi'an, China.ORCID 0000-0002-7655-8532
Wen Di *Department of Obstetrics and Gynecology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo develop a predictive model for fetal loss in women with systemic lupus erythematosus (SLE).

designA retrospective cohort study.

settingData were collected in a tertiary medical centre, located in Shanghai, China, from September 2011 to May 2017.

participants338 pregnancies with SLE were analysed retrospectively. Cases of multiple pregnancy and those in which artificial abortion was performed for personal reasons were excluded. PRIMARY OUTCOME MEASURES: Fetal loss was the primary outcome. A stepwise regression to identify the predictors related to the fetal loss and coefficient B of each variable was used to develop a predictive model and make a corresponding risk classification. The Hosmer-Lemeshow test, Omnibus test and area under the receiver-operating characteristic curve (AUC) were used to assess the goodness-of-fit and discrimination of the predictive model. A 10-fold cross validation was used to assess the model for overfitting.

resultsUnplanned pregnancies (OR 2.84, 95% CI 1.12 to 7.22), C

conclusionsA predictive model for fetal loss in women with SLE was developed using the timing of conception, C

Indexed as

Abortion, SpontaneousAdultChinaFemaleFetal DeathHumansLive BirthLupus Erythematosus, SystemicPregnancyPregnancy ComplicationsPrenatal CareRetrospective StudiesRisk AssessmentStillbirthfetal losspredictive modelpregnancysystemic lupus erythematosus

Identifiers

PMID30755448
PMCPMC6377554

What OpenQuestion holds

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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.