Evidence map›Paper›PMID 33058505›Full record

ArticleThoracic cancer2020

Prognostic impact of micropapillary component in patients with node-negative subcentimeter lung adenocarcinoma: A Chinese cohort study.

Jie Yao, Erjia Zhu, Ming Li, Jinshi Liu, Lei Zhang, Honggang Ke, Hang Su, Huikang Xie, Guanxin Xu, Ling Zhu and 3 more

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in Thoracic cancer, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
1.5field-weighted citation impact, top 14% 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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 19 citations in OpenAlex.

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  12. CORRIGENDUM.Thoracic cancer · 2021
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors at 7 institutions in 1 country.

Jie Yao *Department of Thoracic Surgery, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China.
Erjia Zhu *Department of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, China.
Ming Li *Department of Thoracic Surgery, Jiangsu Cancer Hospital, Nanjing Medical University, Nanjing, China.
Jinshi LiuDepartment of Thoracic Surgery, Zhejiang Cancer Hospital, Hangzhou, China.
Lei ZhangDepartment of Thoracic Surgery, The First People's Hospital of Changzhou, Changzhou, China.
Honggang KeDepartment of Thoracic Surgery, Affiliated Hospital of Nantong University, Nantong, China.
Hang SuDepartment of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, China.
Huikang XieDepartment of Pathology, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, China.
Guanxin XuDepartment of Thoracic Surgery, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China.
Ling ZhuDepartment of Thoracic Surgery, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China.
Junqiang FanDepartment of Thoracic Surgery, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China.
Chang ChenDepartment of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, China.
Surgical Thoracic Alliance of Rising Star Collaborative Group
Second Affiliated Hospital of Zhejiang University · CNShanghai Pulmonary Hospital · CNTongji University · CNJiangsu Cancer Hospital · CNNantong University · CNThe First People's Hospital of Changzhou · CNZhejiang Cancer Hospital · CN

Funding

National Natural Science Foundation of China 81802256Science and Technology Commission of Shanghai Municipality 14411962600Science and Technology Commission of Shanghai Municipality 15411968400Shanghai Health Commission 2018ZHYL0102Shanghai Health Commission 2019SY072Shanghai Hospital Development Center SHDC12015116Shanghai Municipal Education Commission and Shanghai Education Development Foundation 18CG19Shanghai Pujiang Program 15PJD034Shanghai Pulmonary Hospital Research Fund FK18001Shanghai Pulmonary Hospital Research Fund FKGG1805the Fundamental Research Funds for the Central Universities 22120180607
6 · The paper itself

Abstract

backgroundIn this study, we investigated the prognostic significance of a micropapillary (MP) component in patients with subcentimeter lung adenocarcinoma.

methodsA total of 311 patients with subcentimeter lung adenocarcinoma who underwent surgical resection between January 2009 to December 2012 from seven medical centers were included. Recurrence-free survival (RFS) and overall survival (OS) were analyzed.

resultsThe five-year RFS was 79.8% in 97 (97/311, 31%) cases of adenocarcinoma with a MP component and 93.5% in the 214 (214/311, 69%) cases without. In multivariate analysis, MP was an independent risk factor for worse RFS (hazard ratio [HR], 3.73; 95% confidence interval [CI]: 1.87-7.42; P < 0.001) and OS (HR, 5.84; 95% CI: 2.20-15.49; P < 0.001). There was no significant difference among wedge resection, segmentectomy and lobectomy on RFS (P = 0.256) and OS (P = 0.103) in patients without MP. Regarding patients with a MP component, lobectomy achieved equivalent prognosis than segmentectomy, and both were better than wedge resection (P = 0.001).

conclusionsA MP component still suggest a poor prognosis in subcentimeter lung adenocarcinoma. Patients with subcentimeter lung adenocarcinoma with a MP component of 5% or greater treated with wedge resection were at higher risk of recurrence than patients treated with anatomical resection.

Indexed as

Adenocarcinoma of LungAgedChinaCohort StudiesFemaleHumansLung NeoplasmsMalePrognosisRetrospective StudiesMicropapillary componentsubcentimeter lung adenocarcinoma

Identifiers

PMID33058505
PMCPMC7705621
OpenAlexW3092875138

What OpenQuestion holds

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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.