Evidence map›Paper›PMID 30875149›Full record

ArticleThoracic cancer2019

Analysis of factors related to chronic cough after lung cancer surgery.

Ming-Ran Xie, Yong-Fu Zhu, Mei-Qi Zhou, Sheng-Bing Wu, Guang-Wen Xu, Shi-Bin Xu, Mei-Qing Xu

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in Thoracic cancer, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04204148 (Multivariate Analysis of Cough After Uniport Video-assisted Thoracoscopic Surgery Pneumonectomy), which is not on this map. Cited by 33 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 2 pooled it
2.3field-weighted citation impact, top 11% 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.

NCT04204148 unknown statusnot on this map

Multivariate Analysis of Cough After Uniport Video-assisted Thoracoscopic Surgery Pneumonectomy

Typeobservational_patient_registrySponsorThe First Affiliated Hospital of Soochow UniversityRan2019 to 2020Enrolled120ConditionsCough
3 · Its place in the literature

Who cites it

33 citing papers in PubMed, 2 syntheses or guidelines pooled it, 39 citations in OpenAlex.

  1. Pooled it
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  3. Article
  4. Review
  5. Assessment of Quality of Life in the Early Postoperative Period in Patients with Lung Cancer.International journal of environmental research and public health · 2025
    Article
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  15. Observational
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  18. Observational
  19. Article
  20. [Establishment of a Predictive Model for Chronic Cough after Pulmonary Resection].Zhongguo fei ai za zhi = Chinese journal of lung cancer · 2024
    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

7 authors at 3 institutions in 2 countries.

Ming-Ran XieDepartment of Thoracic Surgery, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China.ORCID 0000-0002-9194-946X
Yong-Fu ZhuGraduate School of Anhui University of Chinese Medicine, Hefei, China.
Mei-Qi ZhouBozhou Research Institute of Chinese Medicine, Anhui Academy of Chinese Medicine, Bozhou, China.
Sheng-Bing WuResearch Institute of Acupuncture and Meridian, Anhui Academy of Chinese Medicine, Hefei, China.
Guang-Wen XuDepartment of Thoracic Surgery, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China.ORCID 0000-0001-6966-2553
Shi-Bin XuDepartment of Thoracic Surgery, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China.
Mei-Qing XuDepartment of Thoracic Surgery, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China.
University of Science and Technology of China · CNMeridian Institute · USAnhui University of Traditional Chinese Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn this study, we investigated the relationship between chronic cough and clinicopathological features in postoperative patients with non-small cell lung cancer (NSCLC) and evaluated the effectiveness of acupuncture therapy for the treatment of postoperative chronic cough in patients with NSCLC.

methodsWe retrospectively evaluated 171 patients with NSCLC who received lobectomy at our center between September 2017 and February 2018. The Mandarin Chinese version of the Leicester Cough Questionnaire (LCQ-MC) was used to evaluate the degree of cough in patients. Postoperative cough was assessed by a visual analog scale (VAS).

resultsThe total LCQ-MC score for the whole group was 19.79 ± 0.53 before surgery and 18.40 ± 0.70 after surgery (p < 0.001). Logistic regression analysis showed that right lung cancer, difficult airway, acute cough and history of COPD were independent predictors of chronic cough. Of the 68 patients diagnosed with chronic cough, 41 received acupuncture therapy (acupuncture therapy group), and 27 received no acupuncture therapy (no therapy group). No significant difference was found between the two groups in terms of their LCQ-MC scores at eight weeks after surgery (p = 0.756). However, the acupuncture therapy group had a significantly higher LCQ-MC score than the no therapy group at 10 weeks after surgery (p = 0.002).

conclusionsRight lung cancer, difficult airway, acute cough, and history of COPD are independent predictors of chronic cough after surgery. For patients with chronic cough, acupuncture therapy can shorten the recovery time and improve quality of life after surgery.

Indexed as

Acupuncture TherapyAdultAgedCarcinoma, Non-Small-Cell LungCoughFemaleHumansLogistic ModelsLung NeoplasmsMaleMiddle AgedPostoperative ComplicationsQuality of LifeRetrospective StudiesRisk FactorsTreatment OutcomeAcupuncture therapychronic coughlobectomylung cancer

Identifiers

PMID30875149
PMCPMC6449237
OpenAlexW2921350304

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

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.