Evidence map›Paper›PMID 24238698›Full record

ReviewBest practice & research. Clinical rheumatology2013

Managing lupus patients during pregnancy.

Aisha Lateef, Michelle Petri

Open access · greenAbstract readReview
In one paragraph

Review in Best practice & research. Clinical rheumatology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
52citing papers in PubMed, 2 pooled it
8.6field-weighted citation impact, top 2% 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

52 citing papers in PubMed, 2 syntheses or guidelines pooled it, 218 citations in OpenAlex.

  1. Pooled it
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  4. Review
  5. IgA nephropathy and the road to motherhood.Clinical kidney journal · 2026
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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

2 authors at 2 institutions in 2 countries.

Aisha LateefDivision of Rheumatology, University Medicine Cluster, National University Health System, 1E, Kent Ridge, Singapore 119074, Singapore. Electronic address: aisha_lateef@nuhs.edu.sg.
Michelle Petri
Johns Hopkins University · USNational University Health System · SG

Funding

Lupus CohortR01AR043727 · NIAMS · JOHNS HOPKINS UNIVERSITY · PI PETRI, MICHELLE A · 1997 to 2015
$8.2M
NIAMS NIH HHS R01 AR043727
6 · The paper itself

Abstract

Systemic lupus erythematosus (SLE) is an auto-immune disease, primarily affecting young females. Pregnancy in a woman with SLE remains a high-risk situation with higher maternal and foetal mortality and morbidity. Although live births are achieved in majority of the pregnancies, active disease and major organ involvement can negatively affect the outcomes. A higher risk of foetal loss, pre-term birth, intra-uterine growth restriction (IUGR) and neonatal lupus syndromes (NLSs) are major foetal issues. Mothers are faced with disease flares, pre-eclampsia and other complications. Disease flares during SLE pregnancy pose the unique issue of recognition and differentiation between physiologic changes and disease state. Similarly, pre-eclampsia and lupus nephritis may lead to diagnostic confusion. Treatment choices during pregnancy are limited to a few safe drugs, further restricting the options. Refractory pregnancy loss associated with anti-phospholipid antibodies (aPLs) and complete heart block associated with anti-Ro antibodies remain unresolved issues. A multidisciplinary approach, with close monitoring, is essential for optimal outcomes.

Indexed as

Pregnancy ComplicationsAntibodies, AntiphospholipidFemaleHumansLupus Erythematosus, SystemicPregnancyRisk FactorsAntibodies, AntiphospholipidAnti-phospholipid antibodiesFoetal lossNeonatal lupus syndromesPre-eclampsiaPregnancySystemic lupus erythematosus

Identifiers

PMID24238698
PMCPMC3834352
OpenAlexW2161817495

What OpenQuestion holds

Textmetadata
LicenceTDM
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.