Evidence map›Paper›PMID 35297140›Full record

Observational studyRespirology (Carlton, Vic.)2022

Prognosis assessment model based on low serum calcium in patients with acute pulmonary thromboembolism.

Yu-Qing Yang, Xin Wang, Yun-Jian Zhang, Yan-Fan Chen, Ling Wang, Xiao-Wen Hu, Ling Niu, Hong-Mei Pu, Xin Zhang, Zhen Zhang and 4 more

Open access · hybridAbstract readMulticenter StudyObservational Study
In one paragraph

Observational study in Respirology (Carlton, Vic.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.9field-weighted citation impact, top 9% 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

9 citing papers in PubMed, 14 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

14 authors at 11 institutions in 1 country.

Yu-Qing YangState Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China.ORCID 0000-0001-5333-1346
Xin WangDepartment of Ultrasound, Peking Union Medical College Hospital, Beijing, China.
Yun-Jian ZhangDepartment of Respiration, Beijing Jishuitan Hospital, Beijing, China.
Yan-Fan ChenDepartment of Respiration, the First Affiliated Hospital of Wenzhou Medical College, Zhejiang, China.
Ling WangDepartment of Respiration, Traditional Chinese Medicine Hospital of Xinjiang Uygur Autonomous Region, Xinjiang Uygur Autonomous Region, Uygur, China.
Xiao-Wen HuDepartment of Respiration, Anhui Provincial Hospital, Hefei, China.ORCID 0000-0002-3727-6049
Ling NiuDepartment of Respiration, People's Hospital of Xinjiang Uygur Autonomous Region, Xinjiang Uygur Autonomous Region, Uygur, China.
Hong-Mei PuDepartment of Respiration, Yanbian University Affiliated Hospital Organization, Yanji, China.
Xin ZhangDepartment of Respiration, Hebei Chest Hospital, Hebei, China.
Zhen ZhangDepartment of Respiration, BaoDing No. 1 Hospital, Hebei, China.
Lan WangDepartment of Respiration, Shanghai Pulmonary Hospital, Shanghai, China.ORCID 0000-0002-7270-1397
Fang-Wei ChenDepartment of Respiration, Zhuzhou People's Hospital of Hunan Province, Hunan, China.
Juhong ShiChinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China.
Ying-Qun JiDepartment of Pulmonary and Critical Care Medicine, East Hospital, Shanghai, China.
Shanghai Pulmonary Hospital · CNChinese Academy of Medical Sciences & Peking Union Medical College · CNAffiliated Hospital of Hebei University · CNAnhui Provincial Hospital · CNBeijing University of Posts and Telecommunications · CNHospital of Hebei Province · CNPeking University · CNPeople's Hospital of Xinjiang Uygur Autonomous Region · CNWenzhou Medical University · CNYanbian University · CNZhuzhou Central Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

objectiveThe pulmonary embolism severity index (PESI) and simplified PESI (sPESI) are recommended to recognize patients with acute pulmonary thromboembolism (PTE) with low prognosis risk, which is of great significance for treatment. This study aims to verify the influence of hypocalcaemia on the prognosis of patients with PTE and to establish a new prognosis assessment model.

methodsThis is an observational, multicentre study enrolling patients with PTE from February 2010 to June 2020 across 12 Chinese hospitals. Variables in PESI, serum calcium levels and patient survival status as of 5 July 2020 were collected. The area under the curve of the receiver operating characteristic curve, sensitivity, specificity and Youden index were used to evaluate model performance.

resultsIn the cohort of 4196 patients with PTE, independent associations existed between hypocalcaemia and mid- and long-term mortalities (p <0.05). By including hypocalcaemia, the new 30-day death risk prediction rule, Peking Union Medical College Hospital rule (PUMCH rule), showed significantly higher specificity (0.622 [0.582, 0.661]; p <0.001) than the PESI (0.514 [0.473, 0.554]) and sPESI (0.484 [0.444, 0.525]) and similar sensitivity (0.963 [0.810, 0.999]; p = 0.161) with PESI (0.889 [0.708, 0.976]) and sPESI (0.963 [0.810, 0.999]) in the internal validation cohort. Well-performing predictive validity was also verified on a constructed external validation cohort.

conclusionHypocalcaemia is independently associated with mid- and long-term PTE mortalities. The PUMCH rule showed significantly higher specificity than the PESI and sPESI and similar sensitivity, which may be used as a prognostic assessment tool for patients with acute PTE.

Indexed as

HypocalcemiaPulmonary EmbolismAcute DiseaseCalciumHumansPredictive Value of TestsPrognosisRisk AssessmentSeverity of Illness IndexCalciumacute pulmonary thromboembolismhypocalcaemiaprognosis assessment model

Identifiers

PMID35297140
PMCPMC9540334
OpenAlexW4220803578

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.