Evidence map›Paper›PMID 34493501›Full record

ArticleBMJ open2021

Liver dysfunction in idiopathic pulmonary arterial hypertension: prevalence, characteristics and prognostic significance, a retrospective cohort study in China.

Cijun Luo, Wenhui Wu, Changwei Wu, Hongling Qiu, Ping Yuan, Rong Jiang, Qinhua Zhao, Sugang Gong, Rui Zhang, Jinling Li and 3 more

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-weighted citation impact, top 35% 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

2 citing papers in PubMed, 6 citations in OpenAlex.

  1. Review
  2. Article
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

13 authors at 1 institution in 1 country.

Cijun Luo *Cardio-Pulmonary Circulation, Tongji University Affiliated Shanghai Pulmonary Hospital, Shanghai, China.ORCID 0000-0002-0239-5494
Wenhui Wu *Cardio-Pulmonary Circulation, Tongji University Affiliated Shanghai Pulmonary Hospital, Shanghai, China.
Changwei Wu *Respiratory and Critical Care Medicine, Tongji University Affiliated Shanghai Pulmonary Hospital, Shanghai, China.
Hongling Qiu *Cardio-Pulmonary Circulation, Tongji University Affiliated Shanghai Pulmonary Hospital, Shanghai, China.
Ping YuanCardio-Pulmonary Circulation, Tongji University Affiliated Shanghai Pulmonary Hospital, Shanghai, China.
Rong JiangCardio-Pulmonary Circulation, Tongji University Affiliated Shanghai Pulmonary Hospital, Shanghai, China.ORCID 0000-0003-4062-5550
Qinhua ZhaoCardio-Pulmonary Circulation, Tongji University Affiliated Shanghai Pulmonary Hospital, Shanghai, China.
Sugang GongShanghai Pulmonary Hospital, Tongji University Affiliated Shanghai Pulmonary Hospital, Shanghai, China.
Rui ZhangCardio-Pulmonary Circulation, Tongji University Affiliated Shanghai Pulmonary Hospital, Shanghai, China.
Jinling LiCardio-Pulmonary Circulation, Tongji University Affiliated Shanghai Pulmonary Hospital, Shanghai, China.
Jing HeCardio-Pulmonary Circulation, Tongji University Affiliated Shanghai Pulmonary Hospital, Shanghai, China.
Jinming LiuCardio-Pulmonary Circulation, Tongji University Affiliated Shanghai Pulmonary Hospital, Shanghai, China.
Lan WangCardio-Pulmonary Circulation, Tongji University Affiliated Shanghai Pulmonary Hospital, Shanghai, China lanwang@tongji.edu.cn.
Tongji University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe aim was to elucidate the relationship between liver function and idiopathic pulmonary arterial hypertension (IPAH). DESIGN AND

settingRetrospective, longitudinal study in urban tertiary care centre in Shanghai, China.

participants407 IPAH consecutive incident patients age 18-65 years were retrospectively enrolled from January 2008 to December 2018. OUTCOME MEASUREMENTS: The primary endpoint was all-cause mortality. The cut-off value was determined by receiver operating characteristic curve (ROC), which was validated by Cox proportional hazard model was internally validated by bootstrap analysis and used for survival analysis. The Cox model was (internally) validated and cross-validated areas under the curve (AUC) should be reported.

resultsThe prevalence of abnormal liver function tests (LFTs) at baseline was 77.6%. Hyperbilirubinaemia is the most common abnormal biochemical liver test: abnormal total bilirubin (TBIL in 51.6% patients). During the follow-up, 160 patients died. Patients with mixed liver dysfunction have worse prognosis than those with normal LFTs or isolated abnormal bilirubin metabolism. Comparing with patients with hepatocellular injury, the survival of patients with abnormal bilirubin metabolism is lower. Multivariable Cox models revealed a positive association between TBIL, γ-glutamyltransferase (GGT) and mortality showing that each Ig increment in TBIL and GGT was associated with a higher all-cause mortality (TBIL: HR 4. 29 (95% CI 1. 21 to 15. 27), p=0. 02; GGT: HR 2. 76 (95% CI 1. 18 to 6. 45), p=0. 02). A novel formula named Liver Function Predict Index (LFPI) was constructed (LFPI=-0.002*6MWD+1.014*lg GGT+1.458*lg TBIL) to predict prognosis. ROC curve analysis did further identify 2.729 as the best cut-off value for LFPI (AUC 0.75, p<0.001, sensitivity 79%, specificity 70%).

conclusionsLiver dysfunction is frequent in IPAH, and characterised by a predominantly cholestatic enzyme profile. LFTs abnormalities are associated with worse survival and LFPI was a new and simple predictor for prognosis of IPAH.

Indexed as

Liver DiseasesAdolescentAdultAgedChinaFamilial Primary Pulmonary HypertensionHumansLongitudinal StudiesMiddle AgedPrevalencePrognosisRetrospective StudiesROC CurveYoung Adultadult cardiologycardiologyrisk managementthoracic medicine

Identifiers

PMID34493501
PMCPMC8424845
OpenAlexW3196720191

What OpenQuestion holds

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LicenceCC BY-NC
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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.