Evidence map›Paper›PMID 37488303›Full record

ArticleLung2023

Investigation of Early-Stage Non-Small Cell Lung Cancer Patients with Different T2 Descriptors: Real Word Data From a Large Database.

Jing-Sheng Cai, Xun Wang

Abstract read
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Article in Lung, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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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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

3 citing papers in PubMed.

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4 · The record

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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

2 authors.

Jing-Sheng CaiDepartment of Thoracic Surgery, Peking University People's Hospital, 100044, Beijing, P.R. China.
Xun WangDepartment of Thoracic Surgery, Peking University People's Hospital, 100044, Beijing, P.R. China. wangxun04275@pkuph.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe current study evaluated a large cohort of T2N0M0 NSCLC patients with different T2 descriptors to investigate the prognostic disparities and further externally validate the T category of these patients.

methodsThe Kaplan-Meier Method with the log-rank test was used to plot survival curves. The propensity score matching (PSM) method was used to reduce bias. Univariable and multivariable Cox analyses were used to determine prognostic factors.

resultsA total of 13,015 eligible T2N0M0 NSCLC patients were included. There were 5,287, 2,577 and 5,151 patients in the T2a, T2b and non-sized determined T2N0M0 (T2non-sized) groups, respectively. Before PSM, the survival of T2non-sized patients was comparable to that of T2a patients (P = 0.080) but was superior to that of T2b patients (P < 0.001). After PSM, the survival of T2non-sized patients was inferior to that of T2a patients (P = 0.028) but was similar to that of T2b patients (P = 0.325). The T category was further subdivided based on the specific non-sized T2 descriptors and tumor size. The results of the multivariate Cox analysis found that the prognosis of T2 tumors with visceral pleural invasion (size: 0-30 mm) was better than that of T2a tumors, and the prognosis of T2 tumors with visceral pleural invasion (size: 30-40 mm) was inferior to that of T2a tumors but comparable to that of T2b tumors.

conclusionT2 tumors with visceral pleural invasion (size: 30-40 mm) should be assigned to the T2b category, and those with a size interval of 0-30 mm should be assigned to a better prognostic T2a category.

Indexed as

Carcinoma, Non-Small-Cell LungLung NeoplasmsSmall Cell Lung CarcinomaHumansNeoplasm StagingPrognosisRetrospective StudiesNon-sized T2Non-small cell lung cancerPrognosisT2aT2b

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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.