Evidence map›Paper›PMID 37853232›Full record

ArticleScientific reports2023

Prognostic visualization model for primary pulmonary sarcoma: a SEER-based study.

Qian Huang, Wenqiang Li, Xiaoyu He, Qian He, Qun Lai, Quan Yuan, Zhiping Deng

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.0field-weighted citation impact, top 20% 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

4 citing papers in PubMed, 4 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

7 authors at 4 institutions in 1 country.

Qian Huang *Sichuan North Medical College, Nanchong, 637000, Sichuan Province, China.
Wenqiang Li *Zigong First People's Hospital, Zigong City, 643000, Sichuan Province, China.
Xiaoyu HeSichuan North Medical College, Nanchong, 637000, Sichuan Province, China.
Qian HeWest China Second Hospital of Sichuan University, Chengdu, 610044, Sichuan Province, China.
Qun LaiThe First Hospital of Jilin University, Changchun, 130021, Jilin Province, China.
Quan YuanZigong First People's Hospital, Zigong City, 643000, Sichuan Province, China. Lc7cm@163.com.
Zhiping DengZigong First People's Hospital, Zigong City, 643000, Sichuan Province, China. dengzp1016@163.com.
Zigong First People's Hospital · CNNorth Sichuan Medical University · CNJilin University · CNWest China Second University Hospital of Sichuan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Primary pulmonary sarcoma (PPS) is a rare and poor prognostic malignancy that results from current clinical studies are lacking. Our study aimed to investigate the prognostic factors of PPS and to construct a predictive nomogram that predict the overall survival (OS) rate. We extracted data on patients diagnosed with PPS from 2010 to 2019 in the SEER database. A total of 169 patients were included after screening by inclusion and exclusion criteria. Univariate and multivariate COX regression analyses showed that age, pathological grade, liver metastasis, surgical intervention, and chemotherapy influenced the prognosis. We constructed the prediction model nomogram based on these factors. Moreover, the results of the internal and external ROC curves, calibration curves, and DCA plots confirmed that the model has good discrimination, accuracy, and clinical practice efficacy. The present study is the first population-based study to explore the factors affecting the prognosis of PPS. We established a novel prognostic nomogram to predict the OS rate, which can help to make proper clinical decisions.

Indexed as

Lung NeoplasmsSarcomaCalibrationHumansNomogramsPrognosisSEER Program

Identifiers

PMID37853232
PMCPMC10584923
OpenAlexW4387734307

What OpenQuestion holds

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LicenceCC BY
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.