Evidence map›Paper›PMID 37426047›Full record

ArticlePatient preference and adherence2023

Recall Bias in the Assessment of Cough for Patients Discharged from Lung Surgery.

Xueyao Su, Yanyan Huang, Wei Dai, Yubo Zhang, Lijun Zhang, Jiayuan Zhang, Ruoyan Gong, Jingwen Yu, Dan Kang, Rumei Xiang and 2 more

Open access · goldAbstract read
In one paragraph

Article in Patient preference and adherence, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
0.8field-weighted citation impact, top 25% 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

1 citing paper in PubMed, 1 synthesis or guideline pooled it, 3 citations in OpenAlex.

  1. Cough biomarkers for diagnosis and monitoring of respiratory disease: a systematic review.European respiratory review : an official journal of the European Respiratory Society · 2026
    Pooled it
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

12 authors at 3 institutions in 1 country.

Xueyao Su *School of Public Health, Chongqing Medical University, Chongqing, People's Republic of China.
Yanyan Huang *School of Public Health, Chongqing Medical University, Chongqing, People's Republic of China.
Wei DaiDepartment of Thoracic Surgery, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, University of Electronic Science and Technology of China, Chengdu, Sichuan, People's Republic of China.ORCID 0000-0003-1650-1590
Yubo ZhangState Key Laboratory of Ultrasound in Medicine and Engineering, College of Biomedical Engineering, Chongqing Medical University, Chongqing, People's Republic of China.
Lijun ZhangSchool of Public Health, Chongqing Medical University, Chongqing, People's Republic of China.
Jiayuan ZhangState Key Laboratory of Ultrasound in Medicine and Engineering, College of Biomedical Engineering, Chongqing Medical University, Chongqing, People's Republic of China.
Ruoyan GongSchool of Public Health, Chongqing Medical University, Chongqing, People's Republic of China.
Jingwen YuState Key Laboratory of Ultrasound in Medicine and Engineering, College of Biomedical Engineering, Chongqing Medical University, Chongqing, People's Republic of China.
Dan KangSchool of Public Health, Chongqing Medical University, Chongqing, People's Republic of China.
Rumei XiangSchool of Public Health, Chongqing Medical University, Chongqing, People's Republic of China.ORCID 0000-0003-1136-2149
Jiaojiao ChenSchool of Public Health, Chongqing Medical University, Chongqing, People's Republic of China.
Qiuling ShiSchool of Public Health, Chongqing Medical University, Chongqing, People's Republic of China.
Chongqing Public Health Medical Center · CNChongqing Medical University · CNUniversity of Electronic Science and Technology of China · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: This study aimed to evaluate the presence of recall bias when patients retrospectively report cough scores. Patients and Methods: Patients who underwent lung surgery between July 2021 and November 2021 were recruited for this study. We retrospectively assessed the severity of cough within the past 24 hours and the past 7 days using a 0-10 numerical rating scale. Recall bias was defined as the difference between the scores reported on the two assessments. Patients were grouped based on the longitudinal change in cough scores from pre-operation to 4 weeks after discharge using group-based trajectory models. Using generalized estimating equation to explore the factors influencing recall bias. Results: Overall, 199 patients were analyzed and demonstrated the three distinct trajectories of post-discharge cough: high (21.1%), medium (58.3%), and low (20.6%). Significant recall bias was found in week 2 for the high-trajectory patients (6.26 vs 5.10, Conclusion: Retrospective assessment of post-discharge cough in patients who underwent lung surgery will introduce recall bias, with a tendency of underestimation. The high-trajectory group, interval time and post-discharge time are influencing factors of recall bias. For patients with severe cough at discharge, a shorter recall periods should be employed for monitoring, due to the large bias that results from a longer recall period.

Indexed as

cough measurementlung surgerypatient-reported outcomerecall bias

Identifiers

PMID37426047
PMCPMC10327912
OpenAlexW4382927761

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.