Evidence map›Paper›PMID 36475189›Full record

ArticleCureus2022

Prognostic Value of Positron Emission Tomography in Advanced Cholangiocarcinoma: A Single-Institution Study and Literature Review.

Justin L Pevner, Tawee Tanvetyanon

Open access · diamondAbstract read
In one paragraph

Article in Cureus, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact, top 74% 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

2 citing papers in PubMed, 0 citations in OpenAlex.

  1. Article
  2. The Impact ofMolecular imaging and radionuclide therapy · 2025
    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

2 authors at 2 institutions in 1 country.

Justin L PevnerDepartment of Clinical Oncology, USF (University of South Florida) Health Morsani College of Medicine, Tampa, USA.
Tawee TanvetyanonDepartment of Thoracic Oncology, H. Lee Moffitt Cancer Center, Tampa, USA.
Moffitt Cancer Center · USUniversity of South Florida · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCholangiocarcinoma is an uncommon malignancy in Western countries. Previous studies from mostly Asian countries have suggested the prognostic value of 18F-fluorodeoxyglucose positron-emission tomography integrated with computerized tomography (PET/CT) for advanced cholangiocarcinoma. Here, we investigated the prognostic value of PET/CT at our institution.

methodsA retrospective cohort study based on medical record review was conducted for patients with advanced cholangiocarcinoma who underwent treatment from January 2009 to January 2019 at a large academic institution in the United States. The outcomes of interest were overall survival. Multivariable analyses were performed to characterize the relationship between survival and the highest maximum standardized uptake value (SUVmax) from baseline PET/CT scans.

resultsAnalyses included data from 61 patients. The median age was 68.9 years and 87% of patients were White. The median highest SUVmax was 8.7 (range: background value to 22.8). In a multivariable analytic model including SUVmax, patient demography, and baseline laboratory parameters, SUVmax was identified as one of the independent predictors of survival higher SUVmax significantly predicted worse survival, with hazard ratio 2.26 (95% CI: 1.07-4.75,

conclusionIn this single-institution retrospective analysis, we found that baseline SUVmax was one of the significant prognostic factors for patients with advanced cholangiocarcinoma.

Indexed as

cancercholangiocarcinomapositron emission tomographyprognosissurvival

Identifiers

PMID36475189
PMCPMC9718511
OpenAlexW4307946111

What OpenQuestion holds

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Registered trials

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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.