Evidence map›Paper›PMID 38302763›Full record

ArticleAbdominal radiology (New York)2024

Tumor and metastatic lymph nodes metabolic activity on

Jinling Song, Weiqiang Pang, Heqing Yi, Jianfeng Ji, Xuemei Ye, Linfa Li

Abstract read
PubMed Publisher
In one paragraph

Article in Abdominal radiology (New York), 2024. 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, top 97% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

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 at 1 institution in 1 country.

Jinling SongDepartment of Nuclear Medicine, Zhejiang Provincial Research Center for Cancer Intelligent Diagnosis and Molecular Technology (JBZX-202003), Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, No. 1, East Banshan Road, Gongshu District, Hangzhou, 310022, Zhejiang, People's Republic of China.
Weiqiang PangDepartment of Nuclear Medicine, Zhejiang Provincial Research Center for Cancer Intelligent Diagnosis and Molecular Technology (JBZX-202003), Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, No. 1, East Banshan Road, Gongshu District, Hangzhou, 310022, Zhejiang, People's Republic of China.
Heqing YiDepartment of Nuclear Medicine, Zhejiang Provincial Research Center for Cancer Intelligent Diagnosis and Molecular Technology (JBZX-202003), Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, No. 1, East Banshan Road, Gongshu District, Hangzhou, 310022, Zhejiang, People's Republic of China.
Jianfeng JiDepartment of Nuclear Medicine, Zhejiang Provincial Research Center for Cancer Intelligent Diagnosis and Molecular Technology (JBZX-202003), Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, No. 1, East Banshan Road, Gongshu District, Hangzhou, 310022, Zhejiang, People's Republic of China.
Xuemei YeDepartment of Nuclear Medicine, Zhejiang Provincial Research Center for Cancer Intelligent Diagnosis and Molecular Technology (JBZX-202003), Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, No. 1, East Banshan Road, Gongshu District, Hangzhou, 310022, Zhejiang, People's Republic of China.
Linfa LiDepartment of Nuclear Medicine, Zhejiang Provincial Research Center for Cancer Intelligent Diagnosis and Molecular Technology (JBZX-202003), Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, No. 1, East Banshan Road, Gongshu District, Hangzhou, 310022, Zhejiang, People's Republic of China. pet-ct001@163.com.
Chinese Academy of Sciences · CN

Funding

National Natural Science Foundation of China 81902722Zhejiang Province Major Medical Health Science and Technology Plan WKJ-ZJ-1814Zhejiang Province Public Welfare Technology Application Research Project GF19H160028Zhejiang Province Public Welfare Technology Application Research Project LGF22H180013
6 · The paper itself

Abstract

objectiveThe present study investigated the predictive diseases progression value of preoperative fluorodeoxyglucose (FDG) positron emission tomography/computed tomography (PET/CT) in patients with local advanced cervical cancer (LACC).

methodsIn total, 267 patients [median age 58 (range: 27-85) years old] with LACC underwent

resultsThe median follow-up was 36.52 (range: 3.09-61.29) months. During the observation period, 80 (30.0%) patients exhibited disease progression. Univariate analysis showed that FIGO stage, concurrent chemoradiotherapy (CRT), serum level of carcinoembryonic antigen (CEA) and squamous cell carcinoma antigen (SCC-Ag), primary tumor MTV (pMTV) and TLG (pTLG), lymph nodes SUV

conclusionPretreatment cervical and lymph nodes metabolic parameters were associated with PFS in patients with LACC.

Indexed as

Positron Emission Tomography Computed TomographyUterine Cervical NeoplasmsAdultAgedAged, 80 and overCarcinoembryonic AntigenDisease ProgressionFemaleFluorodeoxyglucose F18HumansLymph NodesMiddle AgedPrognosisProgression-Free SurvivalRadiopharmaceuticalsRetrospective StudiesCarcinoembryonic AntigenFluorodeoxyglucose F18Radiopharmaceuticals18F-FDG PET/CTCervical cancerMetabolic parametersProgression-free survival

Identifiers

PMID38302763
OpenAlexW4391428407

What OpenQuestion holds

Textmetadata
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.