Evidence map›Paper›PMID 42216213›Full record

ArticleCancer imaging : the official publication of the International Cancer Imaging Society2026

Predictive value of primary tumor

Tingting Qiao, Jie Gu, Yangchun Chen, Juan Zhao

Abstract read
In one paragraph

Article in Cancer imaging : the official publication of the International Cancer Imaging Society, 2026. 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

4 authors.

Tingting Qiao *Department of Nuclear Medicine, Shanghai Pulmonary Hospital, Tongji University School of Medicine, 507 Zhengmin Road, Shanghai, 200433, China.
Jie Gu *Department of Nuclear Medicine, Shanghai Pulmonary Hospital, Tongji University School of Medicine, 507 Zhengmin Road, Shanghai, 200433, China.
Yangchun Chen *Department of Nuclear Medicine, Shanghai Pulmonary Hospital, Tongji University School of Medicine, 507 Zhengmin Road, Shanghai, 200433, China. 2205612@tongji.edu.cn.
Juan ZhaoDepartment of Nuclear Medicine, Shanghai Pulmonary Hospital, Tongji University School of Medicine, 507 Zhengmin Road, Shanghai, 200433, China. Dr_zhaojuan@126.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo investigate the association between primary tumor metabolic parameters on

methodsWe retrospectively analyzed 157 patients with pathologically confirmed ALK-positive NSCLC who underwent

resultsAmong 157 patients (62 males and 95 females; mean age 56 ± 11 years), 71 patients (45.2%) had pathologically confirmed LNM. Patients with LNM exhibited evidently larger primary tumor size and higher SUVmax, SUVpeak, MTV, and TLG than those without LNM (all P < 0.001). Univariate analysis showed primary tumor size, SUVmax, SUVpeak, MTV, and TLG were remarkedly associated with LNM. Multivariate analysis identified primary tumor size (OR: 1.043, 95%CI: 1.004-1.084; P = 0.032) and SUVmax (OR: 1.322, 95%CI: 1.159-1.532; P < 0.001) as independent predictors. The AUCs for tumor size, SUVmax, and combined factors were 0.76, 0.77, and 0.81, respectively. In addition, false-negative (OLNM-positive) cases showed markedly larger tumor size (P = 0.003) and higher TLG (P = 0.011) than true-negative cases.

conclusionMetabolic parameters of

Indexed as

Carcinoma, Non-Small-Cell LungFluorodeoxyglucose F18Lung NeoplasmsLymphatic MetastasisPositron Emission Tomography Computed TomographyAdultAgedAnaplastic Lymphoma KinaseFemaleHumansMaleMiddle AgedPredictive Value of TestsRadiopharmaceuticalsRetrospective StudiesALK protein, humanAnaplastic Lymphoma KinaseFluorodeoxyglucose F18Radiopharmaceuticals18F-FDG PET/CTALKLymph node metastasisNSCLCSUVmax

Identifiers

PMID42216213
PMCPMC13435414

What OpenQuestion holds

Textmetadata
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.