Evidence map›Paper›PMID 32811494›Full record

ArticleRespiratory research2020

An authoritative algorithm most appropriate for the prediction of pulmonary embolism in patients with AECOPD.

Wei Xiong, He Du, Mei Xu, Wei Ding, Jinyuan Sun, Fengfeng Han, Xuejun Guo

Open access · goldAbstract read
In one paragraph

Article in Respiratory research, 2020. 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
0.5field-weighted citation impact, top 28% 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

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 6 citations in OpenAlex.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

7 authors at 3 institutions in 1 country.

Wei XiongDepartment of Respiratory Medicine, Xinhua Hospital Affiliated to Shanghai Jiaotong University School of Medicine, No. 1665, Kongjiang Road, Yangpu District, Shanghai, 200092, China. xiongwei@xinhuamed.com.cn.
He DuDepartment of Oncology, Shanghai Pulmonary Hospital Affiliated to Tongji University School of Medicine, Shanghai, China.
Mei XuDepartment of General Practice, North Bund Community Health Center, Hongkou District, Shanghai, China.
Wei DingDepartment of Pulmonary and Critical Care Medicine, Punan Hospital, Pudong New District, Shanghai, China.
Jinyuan SunDepartment of Respiratory Medicine, Xinhua Hospital Affiliated to Shanghai Jiaotong University School of Medicine, No. 1665, Kongjiang Road, Yangpu District, Shanghai, 200092, China.
Fengfeng HanDepartment of Respiratory Medicine, Xinhua Hospital Affiliated to Shanghai Jiaotong University School of Medicine, No. 1665, Kongjiang Road, Yangpu District, Shanghai, 200092, China. hanfengfeng@xinhuamed.com.cn.
Xuejun GuoDepartment of Respiratory Medicine, Xinhua Hospital Affiliated to Shanghai Jiaotong University School of Medicine, No. 1665, Kongjiang Road, Yangpu District, Shanghai, 200092, China. guoxuejun@xinhuamed.com.cn.
XinHua Hospital · CNPunan Hospital · CNTongji University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundContemporarily authoritative algorithms for the prediction of acute pulmonary embolism (PE) comprise the Standard algorithm, the Age-adjusted algorithm, the YEARS algorithm, the PERC algorithm, and the PEGeD algorithm. To date, little is known with respect to which algorithm is most appropriate for the PE prediction in patients with acute exacerbation of chronic obstructive pulmonary disease (AECOPD).

methodsThe patients with AECOPD who underwent the confirmed chest imaging investigations of PE due to the likelihood of PE predicted by the Standard algorithm were retrospectively reviewed. The patients were reassessed by the other four algorithms to reveal which algorithm had the best diagnostic accuracy for the likelihood prediction of PE for patients with AECOPD.

resultsThe results showed that the PEGeD algorithm(88.6, 80.7, 50.4, 97.0%, 4.591, 0.141, 0.693, 82.1%) performed better overall in the sensitivity, specificity, positive predictive value, negative predictive value, positive likelihood ratio, negative likelihood ratio, Youden index, and diagnostic accuracy, in comparison with the Age-adjusted algorithm (78.6, 74.1, 40.1, 94.0%, 3.034, 0.289, 0.527, 74.9%), the YEARS algorithm (71.4, 76.6, 40.3, 92.4%, 3.051, 0.373, 0.480,75.6%), the PERC algorithm (98.6, 1.6, 18.2, 83.3%, 1.002, 0.875, 0.002, 19.2%). The difference of number of patients who were necessary to undergo chest imaging examinations and missed diagnoses resulted from each algorithm between the PEGeD algorithm and the Standard algorithm, the Age-adjusted algorithm, the YEARS algorithm, as well as the PERC algorithm were [- 789 (- 68.1%), N/A], [- 42 (- 3.6%),-21 (- 1.8%)], [- 3 (- 0.3%),-36 (- 3.1%)],[- 771 (- 66.6%), 21 (1.8%)], respectively.

conclusionsTo date, the PEGeD algorithm is the most appropriate strategy among the authoritative algorithms for the likelihood prediction of pulmonary embolism in patients with AECOPD.

Indexed as

AlgorithmsAdultFemaleHumansMaleMiddle AgedPredictive Value of TestsPulmonary Disease, Chronic ObstructivePulmonary EmbolismRetrospective StudiesTomography, X-Ray ComputedAECOPDAlgorithmPredictionPulmonary embolism

Identifiers

PMID32811494
PMCPMC7437016
OpenAlexW3060181820

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Registered trials

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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.