Evidence map›Paper›PMID 38101787›Full record

ArticleBeijing da xue xue bao. Yi xue ban = Journal of Peking University. Health sciences2023

[Analysis of pregnancy outcomes, disease progression, and risk factors in patients with undifferentiated connective tissue disease].

Fang Ning You, Liang Luo, Xiang Jun Liu, Xue Wu Zhang, Chun Li

Open access · greenAbstract readEnglish Abstract
In one paragraph

Article in Beijing da xue xue bao. Yi xue ban = Journal of Peking University. Health sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

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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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

5 authors at 2 institutions in 1 country.

Fang Ning YouDepartment of Rheumatology and Immunology, Peking University People's Hospital, Beijing 100044, China.
Liang LuoDepartment of Chinese Medicine, the People's Hospital of Yubei District of Chongqing City, Chongqing 401120, China.
Xiang Jun LiuDepartment of Rheumatology and Immunology, Peking University People's Hospital, Beijing 100044, China.
Xue Wu ZhangDepartment of Rheumatology and Immunology, Peking University People's Hospital, Beijing 100044, China.
Chun LiDepartment of Rheumatology and Immunology, Peking University People's Hospital, Beijing 100044, China.
Peking University · CNPeking University People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo investigate the fetal and maternal outcomes, risk factors of disease progression and adverse pregnancy outcomes (APOs) in patients with undifferentiated connective tissue disease (UCTD).

methodsThis retrospective study described the outcomes of 106 pregnancies in patients with UCTD. The patients were divided into APOs group (

resultsThere were 99 (93.39%) live births, 4 (3.77%) stillbirths and 3 (2.83%) miscarriage, 20 (18.86%) preterm delivery, 6 (5.66%) SGA, 17 (16.03%) LBW, 11 (10.37%) pre-eclampsia, 7 (6.60%) cases IUGR, 19 (17.92%) cases PROM, 10 (9.43%) cases PPH. Compared with the patients without APOs, the patients with APOs had a higher positive rate of anti-SSA antibodies (73.58%

conclusionLeukopenia is an independent risk factor for the development of APOs in patients with UCTD. Raynaud's phenmon is a risk factor for the progression of SLE. Tight disease monitoring and regular follow-up are the key measures to prevent adverse pregnancy outcomes and predict disease progression in UCTD patients with pregnancy.

Indexed as

Abortion, SpontaneousConnective Tissue DiseasesLeukopeniaLupus Erythematosus, SystemicPre-EclampsiaPregnancy ComplicationsUndifferentiated Connective Tissue DiseasesDisease ProgressionFemaleHumansInfant, NewbornPregnancyPregnancy OutcomeRetrospective StudiesRisk FactorsAdverse pregnancy outcomesRisk factorUndifferentiated connective tissue disease

Identifiers

PMID38101787
PMCPMC10724001
OpenAlexW4389836863

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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.