Evidence map›Paper›PMID 40963390›Full record

Observational studyCancer control : journal of the Moffitt Cancer Center

Prognostic Value of Handgrip Strength in Lung Cancer: Findings From a Multicenter Prospective Cohort Study.

Xin Wang, Hong Zhao, Lu Liang, Ying Gao, Lei Song, Hanping Shi

Abstract readMulticenter StudyObservational Study
In one paragraph

Observational study in Cancer control : journal of the Moffitt Cancer Center. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Xin WangDepartment of General Surgery, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.
Hong ZhaoDepartment of General Surgery, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.
Lu LiangDepartment of Hepatological Surgery, Baotou Central Hospital, Baotou, China.
Ying GaoDepartment of Geriatric Medicine, Xiangya Hospital, Central South University, Changsha, China.
Lei SongDepartment of Hepatological Surgery, Baotou Central Hospital, Baotou, China.
Hanping ShiDepartment of General Surgery, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.ORCID 0000-0003-4514-8693

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BackgroundHandgrip strength (HGS), a simple and practical indicator of skeletal muscle function, has emerged as a potential prognostic marker, yet its predictive value in lung cancer remains to be fully elucidated. This study aimed to evaluate the prognostic significance of HGS for Overall Survival (OS) in patients with lung cancer, and to develop a prognostic model integrating HGS and hematologic parameters.MethodsThis prospective cohort study was based on the Investigation on Nutrition Status and its Clinical Outcome of Common Cancers (INSCOC). A total of 3604 pathologically confirmed lung cancer patients were included. Demographic, clinical, and nutrition-related data were collected. The association between HGS and OS was assessed using Cox proportional hazards models. A nomogram was developed, and its predictive performance was evaluated using receiver operating characteristic (ROC) curves and the concordance index (C-index).ResultsHGS was significantly associated with OS in patients with lung cancer. Compared with the lowest quartile (Q1), patients in Q2, Q3, and Q4 showed 23.9% (HR = 0.761, 95% CI: 0.666-0.869,

Indexed as

Hand StrengthLung NeoplasmsAgedFemaleHumansMaleMiddle AgedNomogramsNutritional StatusPrognosisProspective StudiesROC Curvecohort studyhandgrip strengthlung cancerprognosis

Identifiers

PMID40963390
PMCPMC12446834

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.