Evidence map›Paper›PMID 35789664›Full record

ArticleJournal of inflammation research2022

Naples Prognostic Score is an Independent Prognostic Factor in Patients with Small Cell Lung Cancer and Nomogram Predictive Model Established.

Shuangqing Chen, Shicheng Liu, Siwei Xu, Shumin Cao, Zhaohui Han, Lingxin Kong, Dahu Ren, Guochen Duan

Open access · goldAbstract read
In one paragraph

Article in Journal of inflammation research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 2 pooled it
3.1field-weighted citation impact, top 6% 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

19 citing papers in PubMed, 2 syntheses or guidelines pooled it, 26 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

8 authors at 4 institutions in 1 country.

Shuangqing ChenDepartment of Thoracic Surgery, Hebei General Hospital, Shijiazhuang, 050057, People's Republic of China.
Shicheng LiuDepartment of Thoracic Surgery, Hebei General Hospital, Shijiazhuang, 050057, People's Republic of China.
Siwei XuDepartment of Thoracic Surgery, The First Hospital of Hebei Medical University, Shijiazhuang, 050057, People's Republic of China.
Shumin CaoDepartment of Oncology, Hebei General Hospital, Shijiazhuang, 050057, People's Republic of China.
Zhaohui HanDepartment of Thoracic Surgery, Hebei General Hospital, Shijiazhuang, 050057, People's Republic of China.
Lingxin KongDepartment of Thoracic Surgery, Hebei General Hospital, Shijiazhuang, 050057, People's Republic of China.
Dahu RenDepartment of Thoracic Surgery, Hebei General Hospital, Shijiazhuang, 050057, People's Republic of China.
Guochen DuanDepartment of Thoracic Surgery, Children's Hospital of Hebei Province, Shijiazhuang, 050000, People's Republic of China.ORCID 0000-0001-9608-4066
Hebei Medical University · CNHebei North University · CNHebei General Hospital · CNHospital of Hebei Province · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The routine clinical nutritional and inflammatory indicators such as serum albumin, total cholesterol and lymphocytes have been widely investigated in the prognosis of small cell lung cancer (SCLC). The Naples prognostic score (NPS), based on nutritional and inflammatory status, has been identified as a prognostic impactor in several malignancies. However, the prognostic role of NPS in SCLC has not been elucidated. This study aims to evaluate the prognostic effect of NPS in SCLC patients. Patients and Methods: Patients with SCLC were recruited at Hebei General Hospital between April 2015 and August 2021. Pretreatment clinical and laboratory data were obtained. Participants were assigned into three groups according to NPS (group 0: NPS=0, group 1: NPS=1 or 2, group 2: NPS=3 or 4). Kaplan-Meier and Cox regression analysis were performed to assess the prognostic significance of NPS. The RMS package in R software was used to draw the nomogram predictive model. Results: A total of 128 patients were enrolled. The median progression-free survival (PFS) and overall survival (OS) was 7.2 and 12.3 months, respectively. The median PFS and OS was 12.3 vs 19.8 months, 7.6 vs 14.1 months and 6.0 vs 8.45 months for the three groups respectively. There were significant differences in both OS and FPS among the three groups. Survival analysis showed that NPS was significantly correlated with both OS and PFS (P<0.05). Lower NPS is associated with longer OS and PFS. Multivariate analysis showed that NPS has an independent prognostic impact on OS (P<0.05). The nomogram predictive model showed that NPS has good predictive power for survival rates. Conclusion: NPS is an independent prognostic factor for OS in SCLC patients. Low NPS may predict longer OS. Therefore NPS plays a vital role in the nomogram predictive model of survival rates in SCLC patients.

Indexed as

Naples prognostic scorenomogram predictive modelprognostic factorsmall cell lung cancer

Identifiers

PMID35789664
PMCPMC9250331
OpenAlexW4285741210

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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.