Evidence map›Paper›PMID 34663275›Full record

ArticleBMC pulmonary medicine2021

Cardiopulmonary exercise testing and pulmonary function testing for predicting the severity of CTEPH.

Hanqing Zhu, Xingxing Sun, Yuan Cao, Bigyan Pudasaini, Wenlan Yang, Jinming Liu, Jian Guo

Open access · goldAbstract readComparative Study
In one paragraph

Article in BMC pulmonary medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.5field-weighted citation impact, top 17% 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

7 citing papers in PubMed, 11 citations in OpenAlex.

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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

7 authors at 2 institutions in 1 country.

Hanqing Zhu *Department of Pulmonary Function Test, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, 200092, China.
Xingxing Sun *Department of Pulmonary Function Test, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, 200092, China.
Yuan CaoDepartment of Pulmonary Function Test, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, 200092, China.
Bigyan PudasainiDepartment of Internal Medicine, Columbia Bainuo Clinic, Shanghai, 200040, China.
Wenlan YangDepartment of Pulmonary Function Test, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, 200092, China.
Jinming LiuDepartment of Pulmonary Function Test, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, 200092, China.
Jian GuoDepartment of Pulmonary Function Test, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, 200092, China. jianjian11121978@163.com.
Shanghai Pulmonary Hospital · CNTongji University · CN

Funding

Clinical research project of Shanghai Pulmonary Hospital [FKLY20020]cultivation project of Shanghai Pulmonary Hospital [fkzr2032]Scientific research project of Shanghai Municipal Health Commission [202040321]
6 · The paper itself

Abstract

backgroundCardiopulmonary exercise testing (CPET) and pulmonary function testing (PFT) are noninvasive methods to evaluate the respiratory and circulatory systems. This research aims to evaluate and monitor chronic thromboembolic pulmonary hypertension (CTEPH) noninvasively and effectively by these two methods. Moreover, the research assesses the predictive value of CPET and PFT parameters for severe CTEPH.

methodsWe used data from 86 patients with CTEPH (55 for test set, and 31 for validation set) at the Shanghai Pulmonary Hospital Affiliated to Tongji University. The clinical, PFT and CPET data of CTEPH patients of different severity classified according to pulmonary artery pressure (PAP) (mm Hg) were collected and compared. Logistic regression analysis was performed to appraise the predictive value of each PFT and CPET parameter for severe CTEPH. The performance of CPET parameters for predicting severe CTEPH was determined by receiver operating characteristic (ROC) curves and calibration curves.

resultsData showed that minute ventilation at anaerobic threshold (VE @ AT) (L/min) and oxygen uptake at peak (VO

conclusionOur research suggests that CPET and PFT can noninvasively and effectively evaluate, monitor and predict the severity of CTEPH.

Indexed as

Severity of Illness IndexAdultAgedAged, 80 and overChinaExercise TestFemaleHumansHypertension, PulmonaryMaleMiddle AgedPulmonary EmbolismRespiratory Function TestsRetrospective StudiesCPETCTEPHPFT

Identifiers

PMID34663275
PMCPMC8521985
OpenAlexW3160788411

What OpenQuestion holds

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LicenceCC BY
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.