Evidence map›Paper›PMID 38874876›Full record

ArticleAnnals of nuclear medicine2024

Novel prediction model combining PET/CT metabolic parameters, inflammation markers, and TNM stage: prospects for personalizing prognosis in nasopharyngeal carcinoma.

Huan Liang, Weilin Tan, Jie Wang, Mengdan Li, Hua Pang, Xiaohui Wang, Lu Yang, Xingguo Jing

Abstract read
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Article in Annals of nuclear medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  3. Article
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.

Huan LiangDepartment of Nuclear Medicine, The First Affiliated Hospital of Chongqing Medical University, Yuzhong District, No. 1 Youyi Road, YuanjiagangChongqing, 400016, China.
Weilin TanDepartment of Neurosurgery, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China.
Jie WangDepartment of Nuclear Medicine, The First Affiliated Hospital of Chongqing Medical University, Yuzhong District, No. 1 Youyi Road, YuanjiagangChongqing, 400016, China.
Mengdan LiDepartment of Nuclear Medicine, The First Affiliated Hospital of Chongqing Medical University, Yuzhong District, No. 1 Youyi Road, YuanjiagangChongqing, 400016, China.
Hua PangDepartment of Nuclear Medicine, The First Affiliated Hospital of Chongqing Medical University, Yuzhong District, No. 1 Youyi Road, YuanjiagangChongqing, 400016, China.
Xiaohui WangDepartment of Nuclear Medicine, The First Affiliated Hospital of Chongqing Medical University, Yuzhong District, No. 1 Youyi Road, YuanjiagangChongqing, 400016, China.
Lu YangDepartment of Nuclear Medicine, The First Affiliated Hospital of Chongqing Medical University, Yuzhong District, No. 1 Youyi Road, YuanjiagangChongqing, 400016, China.
Xingguo JingDepartment of Nuclear Medicine, The First Affiliated Hospital of Chongqing Medical University, Yuzhong District, No. 1 Youyi Road, YuanjiagangChongqing, 400016, China. 1225298848@qq.com.ORCID http://orcid.org/0009-0002-4563-3058

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThis study aims to develop a novel prediction model and risk stratification system that could accurately predict progression-free survival (PFS) in patients with nasopharyngeal carcinoma (NPC).

methodsHerein, we included 106 individuals diagnosed with NPC, who underwent

resultsMultivariate Cox regression analysis showed that N stage, M stage, SUV

conclusionHerein, a novel prediction model was successfully developed and validated to improve the accuracy of prognostic prediction for patients with NPC, with the aim of facilitating personalized treatment.

Indexed as

Nasopharyngeal CarcinomaNasopharyngeal NeoplasmsNeoplasm StagingPositron Emission Tomography Computed TomographyAdultAgedBiomarkers, TumorFemaleFluorodeoxyglucose F18HumansInflammationMaleMiddle AgedPrecision MedicinePrognosisRetrospective StudiesBiomarkers, TumorFluorodeoxyglucose F18Clinical prediction modelNasopharyngeal carcinomaPositron emission tomographySurvival analysisTNM stage

Identifiers

What OpenQuestion holds

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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.