Evidence map›Paper›PMID 42078485›Full record

ReviewInternational journal of biomedical imaging2026

Personalized PET Imaging in Gastric Cancer: An Umbrella Review of Meta-Analyses to Guide Radiopharmaceutical Selection and Clinical Indication.

Aiganym Amrenova, Alma Shukirbekova, Sholpan Akhelova, Jamilya Assilbayeva, Andrey Gurin, Maira Mukazhanova, Bibigul Kaliyaskarova, Asset Sarsekeyev, Nadiar M Mussin, Amin Tamadon

Abstract readReview
In one paragraph

Review in International journal of biomedical imaging, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

10 authors.

Aiganym AmrenovaDepartment of Pharmaceutical Disciplines, Astana Medical University, Astana, Kazakhstan, amu.kz.
Alma ShukirbekovaDepartment of Pharmaceutical Disciplines, Astana Medical University, Astana, Kazakhstan, amu.kz.
Sholpan AkhelovaDepartment of Pharmaceutical Disciplines, Astana Medical University, Astana, Kazakhstan, amu.kz.
Jamilya AssilbayevaDepartment of Pharmaceutical Disciplines, Astana Medical University, Astana, Kazakhstan, amu.kz.
Andrey GurinScientific and Technical Center for Radiochemistry and Isotope Production, Institute of Nuclear Physics, Almaty, Kazakhstan, inp.uz.ORCID https://orcid.org/0000-0003-3900-3818
Maira MukazhanovaDepartment of Quality Control of Radiopharmaceuticals, Diagnostic Center, University Medical Center, Astana, Kazakhstan, bvdaihoc.com.vn.
Bibigul KaliyaskarovaRadiopharmaceutical Production Department, Center of Nuclear Medicine and Oncology of the Abai Region, Semey, Kazakhstan.
Asset SarsekeyevRadiopharmaceutical Production Department, Center of Nuclear Medicine and Oncology of the Abai Region, Semey, Kazakhstan.
Nadiar M MussinDepartment of General Surgery, West Kazakhstan Marat Ospanov Medical University, Aktobe, Kazakhstan.
Amin TamadonDepartment of Natural Sciences, West Kazakhstan Marat Ospanov Medical University, Aktobe, Kazakhstan.ORCID https://orcid.org/0000-0002-0222-3035

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Gastric cancer remains a leading cause of cancer-related morbidity and mortality worldwide, and accurate imaging is critical for diagnosis, staging, recurrence detection, and prognostic assessment. Positron emission tomography (PET), traditionally performed using Objective: We are aimed at synthesizing and appraise meta-analytic evidence on PET imaging in gastric cancer, with a focus on radiopharmaceutical-specific performance by clinical indication and certainty of evidence to inform personalized tracer selection. Methods: An umbrella review was conducted in accordance with PRISMA 2020. The protocol was prospectively registered in the Open Science Framework (OSF). PubMed, Scopus, and Web of Science were searched from inception to December 2025 for systematic reviews and meta-analyses evaluating PET imaging in gastric cancer. Outcomes included diagnostic accuracy, staging and restaging performance, recurrence detection, prognostic associations, methodological quality (AMSTAR-2), and certainty of evidence (GRADE). Results: Eleven meta-analyses published between 2011 and 2025 were included. FDG PET/CT demonstrated moderate diagnostic performance overall, with high specificity but limited sensitivity for lymph node and peritoneal metastases, while retaining moderate certainty for prognostic assessment based on standardized uptake value (SUV)-derived metrics. In contrast, Conclusions: Available meta-analytic evidence suggests an indication-driven, personalized approach to PET imaging in gastric cancer. FDG PET remains useful for prognostic stratification and selected recurrence settings, whereas FAPI PET appears to offer higher diagnostic sensitivity for staging and restaging, particularly for peritoneal disease. Nevertheless, the overall certainty of evidence remains limited by heterogeneity, indirectness, and the absence of updated de novo pooled analyses.

Indexed as

fibroblast activation proteinfluorodeoxyglucose f18gastric neoplasmsmeta-analysispositron-emission tomography

Identifiers

PMID42078485
PMCPMC13131056

What Socratic holds

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LicenceCC BY
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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 Socratic graph.