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Record W3153595151 · doi:10.1177/09612033211007199

Hydroxychloroquine prophylaxis for preeclampsia, hypertension and prematurity in pregnant patients with systemic lupus erythematosus: A meta-analysis

2021· review· en· W3153595151 on OpenAlexaboutno aff
Dan Ma, Xiaoting Wen, Qianyu Guo, Jinfang Gao, Gailian Zhang, Ke Xu, Liyun Zhang

Bibliographic record

VenueLupus · 2021
Typereview
Languageen
FieldMedicine
TopicSystemic Lupus Erythematosus Research
Canadian institutionsnot available
FundersNational Natural Science Foundation of China
KeywordsMedicinePreeclampsiaHydroxychloroquineOdds ratioMeta-analysisConfidence intervalObstetricsPregnancyGestational hypertensionGestational diabetesInternal medicineGestationDisease

Abstract

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OBJECTIVES: This meta-analysis aimed to evaluate the effectiveness of HCQ in improving the maternal and fetal outcomes in pregnancies with SLE. METHODS: A literature search was conducted using PubMed, MEDLINE, EMBASE, and the Cochrane database for relevant English language articles, and Wanfang, CNKI and VIP for Chinese articles, from the databases' inception to April 30, 2020. These studies compared the maternal and/or fetal outcomes between pregnant patients with SLE who were administered HCQ during pregnancy (HCQ+ group) and those who were not administered HCQ (HCQ- group). Two investigators extracted the data and assessed the quality using the Newcastle-Ottawa Scale (NOS) and GRADE criteria independently. Odds ratio (OR) and 95% confidence intervals (CIs) were calculated. All statistical analyses were conducted using the Stata 12.0 software. RESULTS: Nine studies involving 1132 pregnancies were included in the study (3 case controls, 2 prospective cohorts, 4 retrospective cohorts). Preeclampsia, gestational hypertension, and prematurity were significantly lower in the HCQ+ group than in the HCQ- group (OR 0.35, 95% CI 0.21-0.59), (OR 0.41, 95% CI 0.19-0.89) and (OR 0.55, 95% CI 0.36-0.86), respectively. There were no significant differences in the rates of HELLP Syndrome (OR 0.88, 95% CI 0.19-3.96), gestational diabetes (OR 2.3, 95% CI 0.44-12.12), thrombotic events (OR 0.26, 95% CI 0.05-1.51), spontaneous abortion (OR 1.77, 95% CI 0.96-3.26), premature rupture of membranes (OR 0.58, 95% CI 0.24-1.39), oligohydramnios (OR 0.90, 95% CI 0.38-2.14), live birth (OR 1.22, 95% CI 0.60-2.47), stillbirth (OR 1.00, 95% CI 0.50-2.00), congenital malformation (OR 0.53, 95% CI 0.14-2.04), low birth weight (OR 0.77, 95% CI 0.43-1.39), intrauterine distress (OR 1.07, 95% CI 0.41-2.76,), intrauterine growth restriction (OR 0.57, 95% CI 0.06-5.43), or five-minute APGAR score <7 (OR 0.72, 95% CI 0.20-2.58) between the two groups. CONCLUSIONS: HCQ treatment during pregnancy could reduce the risk of preeclampsia, pregnancy hypertension and prematurity in SLE patients. The certainty of evidence is high but majority of the studies included are retrospective studies and not randomized controlled trials. Therefore, the multidisciplinary management of pregnant patients with SLE should promote HCQ use, irrespective of disease activity or severity.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.012
metaresearch head score (Gemma)0.019
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: Meta-analysis
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.018
Threshold uncertainty score0.064

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0120.019
Meta-epidemiology (narrow)0.0030.002
Meta-epidemiology (broad)0.0180.060
Bibliometrics0.0050.005
Science and technology studies0.0010.001
Scholarly communication0.0030.001
Open science0.0020.001
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0030.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.068
GPT teacher head0.318
Teacher spread0.250 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designMeta-analysis
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations43
Published2021
Admission routes1
Has abstractyes

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