Evidence map›Paper›PMID 35935304›Full record

ArticleContrast media & molecular imaging2022

Preoperative Body Composition Combined with Tumor Metabolism Analysis by PET/CT Is Associated with Disease-Free Survival in Patients with NSCLC.

Hongpei Tan, Mengtian Ma, Jing Huang, Yuqian Dong, Jiahao Liu, Ze Mi, Kai Zheng, Shuo Hu, Pengfei Rong

Open access · hybridAbstract read
In one paragraph

Article in Contrast media & molecular imaging, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.6field-weighted citation impact, top 18% 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

5 citing papers in PubMed, 11 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

9 authors at 2 institutions in 1 country.

Hongpei TanDepartment of Radiology, Third Xiangya Hospital, Central South University, Changsha, China.ORCID 0000-0002-7856-4805
Mengtian MaDepartment of Radiology, Third Xiangya Hospital, Central South University, Changsha, China.ORCID 0000-0003-0147-2045
Jing HuangDepartment of Anesthesiology, Zhuzhou Central Hospital, Zhuzhou, China.ORCID 0000-0002-4499-9819
Yuqian DongDepartment of Radiology, Third Xiangya Hospital, Central South University, Changsha, China.ORCID 0000-0002-5410-3203
Jiahao LiuDepartment of Radiology, Third Xiangya Hospital, Central South University, Changsha, China.ORCID 0000-0001-6239-1973
Ze MiDepartment of Radiology, Third Xiangya Hospital, Central South University, Changsha, China.ORCID 0000-0001-9075-1606
Kai ZhengDepartment of Nuclear Medicine, Xiangya Hospital, Central South University, Changsha, China.ORCID 0000-0003-1353-7483
Shuo HuDepartment of Nuclear Medicine, Xiangya Hospital, Central South University, Changsha, China.ORCID 0000-0003-0998-8943
Pengfei RongDepartment of Radiology, Third Xiangya Hospital, Central South University, Changsha, China.ORCID 0000-0001-5473-1982
Central South University · CNZhuzhou Central Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To evaluate the relationship between preoperative primary tumor metabolism and body composition in patients with NSCLC and analyze their effects on DFS. Method: A retrospective study was conducted on 154 patients with NSCLC. All patients were scanned by baseline 18F-FDG PET/CT. SUVmax (maximum standard uptake value) of primary tumor, liver SUVmean (mean standard uptake value), and spleen SUVmean were measured by AW workstation. The skeletal muscle area (SMA), skeletal muscle mass index (SMI), skeletal muscle radiation density (SMD), visceral fat area (VFA), visceral adipose tissue index (VATI), and skeletal muscle visceral fat ratio (SVR) were measured by ImageJ software. Kaplan-Meier survival analysis was used to evaluate the impact of the above parameters on DFS. Results: Compared with the low SUVmax group of primary tumors, the mean values of SMA, VFA, and VATI in the high SUVmax group were significantly higher. In addition, there were obvious differences in histopathological type, pathological differentiation, AJCC stage, and T stage between the two groups. Univariate analysis of DFS showed that VFA, VATI, pathological differentiation, tumor SUVmax, AJCC stage, tumor T stage, and N stage all affected the DFS of patients except for the parameters reflecting skeletal muscle content. Multivariate regression analysis showed that only VFA and SUVmax were associated with DFS. Kaplan-Meier survival analysis showed that high SUVmax, low VFA, high T stage, and high N stage were related to the decrease of DFS. Conclusion: :Preoperative

Indexed as

Carcinoma, Non-Small-Cell LungLung NeoplasmsBody CompositionDisease-Free SurvivalHumansPositron Emission Tomography Computed TomographyRetrospective Studies

Identifiers

PMID35935304
PMCPMC9300276
OpenAlexW4285395552

What OpenQuestion holds

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LicenceCC BY
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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.