Evidence map›Paper›PMID 35004254›Full record

ArticleTranslational lung cancer research2021

Clinical features and prognostic factors of combined small cell lung cancer: development and validation of a nomogram based on the SEER database.

Lan Yang, Yuwen Zhou, Gang Wang, Dan Liu, Bojiang Chen, Dan Pu, Pierpaolo Correale, Dirk Rades, Yusuke Tomita, Alessandro Inno and 3 more

Open access · diamondAbstract read
In one paragraph

Article in Translational lung cancer research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
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

13 citing papers in PubMed, 19 citations in OpenAlex.

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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

13 authors at 7 institutions in 4 countries.

Lan Yang *Department of Respiratory and Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, China.
Yuwen Zhou *Department of Biotherapy, Cancer Center, West China Hospital, Sichuan University, Chengdu, China.
Gang WangDepartment of Respiratory and Critical Care Medicine, Clinical Research Centre for Respiratory Disease, West China Hospital, Sichuan University, Chengdu, China.
Dan LiuDepartment of Respiratory and Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, China.
Bojiang ChenDepartment of Respiratory and Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, China.
Dan PuDepartment of Respiratory and Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, China.
Pierpaolo CorrealeMedical Oncology Unit, Grand Metropolitan Hospital "Bianchi-Melacrino-Morelli", Reggio Calabria, Italy.
Dirk RadesDepartment of Radiation Oncology, University of Lübeck, Lübeck, Germany.
Yusuke TomitaDepartment of Respiratory Medicine, Graduate School of Medical Sciences, Kumamoto University, Kumamoto, Japan.
Alessandro InnoMedical Oncology, IRCCS Ospedale Sacro Cuore Don Calabria, Negrar di Valpolicella (VR), Italy.
Mariacarmela SantarpiaMedical Oncology Unit, Department of Human Pathology "G. Barresi", University of Messina, Messina, Italy.
Yalun Li *Department of Respiratory and Critical Care Medicine, Lung Cancer Treatment Center, West China Hospital, Sichuan University, Chengdu, China.
Weimin Li *Department of Respiratory and Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, China.
Sichuan University · CNWest China Hospital of Sichuan University · CNAzienda ospedaliera "Bianchi-Melacrino-Morelli" · ITKumamoto University · JPOspedale Sacro Cuore Don Calabria · ITUniversity of Lübeck · DEUniversity of Messina · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCombined small-cell lung cancer (CSCLC) refers to the simultaneous presence of small cell lung cancer (SCLC) and any subtype of the non-small cell lung cancer (NSCLC). This study aimed to explore the prognosis of CSCLC, NSCLC, and pure SCLC patients, and to develop a nomogram to estimate the overall survival (OS) for CSCLC patients.

methodsPatients diagnosed with NSCLC, CSCLC, and pure SCLC between 2004 and 2015 were identified from the Surveillance Epidemiology and End Results (SEER) database. Survival analyses were performed by using the Kaplan Meier curves and Cox proportional hazards regression. All CSCLC patients were randomly split 7:3 into training and validation sets. A nomogram was developed by integrating all independent predictors for OS. The performance of the nomogram was determined by discrimination, calibration ability, clinical usefulness, and risk stratification ability.

resultsA total of 326,695 lung cancer patients, including 871 with CSCLC, 280,391 with NSCLC, and 45,433 with pure SCLC were enrolled. CSCLC was associated with worse survival compared with NSCLC both in the unmatched and matched cohorts. However, compared to pure SCLC, CSCLC was associated with significantly better survival in the unmatched cohorts only, while showed marginally non-significantly better survival after propensity score matching (PSM). For CSCLC, a nomogram was constructed for the 6-month, 1-year, and 3-year OS prediction by combining the independent risk factors, including age, gender, tumor, node, and metastasis stage, surgery, and chemotherapy. The nomogram showed good discrimination and calibration both in the training and validation sets, and better performance than the tumor-node-metastasis staging system. Risk stratification analysis indicated that the nomogram scores efficiently divided CSCLC patients into low-, intermediate-, and high-risk groups (P

conclusionsCSCLC patients presented a significantly worse prognosis than patients with NSCLC, but comparable prognosis when compared with pure SCLC patients in the matched cohorts. In addition, we developed and validated a nomogram for predicting the 6-month, 1-year, and 3-year OS in CSCLC patients.

Indexed as

Combined small cell lung cancer (CSCLC)nomogramprognosispropensity-score matching (PSM)the Surveillance Epidemiology and End Results (SEER)

Identifiers

PMID35004254
PMCPMC8674603
OpenAlexW3214360919

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.