Evidence map›Paper›PMID 31867074›Full record

ArticleNuclear medicine and molecular imaging2019

Prognostic Value of Metabolic Information in Advanced Gastric Cancer Using Preoperative

Hye Ryeong Kwon, Kisoo Pahk, Sungsoo Park, Hyun Woo Kwon, Sungeun Kim

Abstract read
In one paragraph

Article in Nuclear medicine and molecular imaging, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. The Prognostic Significance of Preoperative StagingMolecular imaging and radionuclide therapy · 2026
    Article
  2. Article
  3. Prognostic Value of Sarcopenia and Metabolic Parameters ofDiagnostics (Basel, Switzerland) · 2023
    Article
  4. Article
  5. Article
  6. Prediction value ofFrontiers in oncology · 2022
    Article
  7. Differences among [Scientific reports · 2021
    Article
  8. Review
  9. Cancer immunology, immunotherapy : CII · 2020
    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

5 authors.

Hye Ryeong Kwon1Department of Nuclear Medicine, Korea University Anam Hospital, 73, Goryeodae-ro, Seongbuk-gu, Seoul, 02841 Republic of Korea.
Kisoo Pahk1Department of Nuclear Medicine, Korea University Anam Hospital, 73, Goryeodae-ro, Seongbuk-gu, Seoul, 02841 Republic of Korea.
Sungsoo Park2Department of Gastrointestinal Surgery, Korea University Anam Hospital, Seoul, Korea.
Hyun Woo Kwon1Department of Nuclear Medicine, Korea University Anam Hospital, 73, Goryeodae-ro, Seongbuk-gu, Seoul, 02841 Republic of Korea.ORCID 0000-0002-0597-837X
Sungeun Kim1Department of Nuclear Medicine, Korea University Anam Hospital, 73, Goryeodae-ro, Seongbuk-gu, Seoul, 02841 Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThis study evaluated the usefulness of semiquantitative and volumetric PET parameters for predicting prognosis in patients with advanced gastric cancer (AGC).

methodsWe enrolled 213 patients who underwent

resultsThe recurrence rate was 32.4% (69/213 patients). Mean SUVmax and mean MTV of the recurrence group were significantly higher than those of the non-recurrence group (

conclusionHigh SUVmax and high MTV of the primary tumor suggest a high risk of recurrence for AGC patients. Even if SUVmax is similar, the prognosis may vary depending on MTV. Combining PET parameters results in a better prediction for prognosis.

Indexed as

Advanced gastric cancerFDG PET/CTMaximum standardized uptake valueMetabolic tumor volumeRecurrence

Identifiers

PMID31867074
PMCPMC6898707

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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.