Evidence map›Paper›PMID 28767564›Full record

ArticleAnnals of surgery2018

Post-Treatment/Pre-operative PET Response Is Not an Independent Predictor of Outcomes for Patients With Gastric and GEJ Adenocarcinoma.

Jonathan M Hernandez, Volkan Beylergil, Debra A Goldman, Elke van Beek, Mithat Gonen, Laura Tang, Robert Downey, Nabil Rizk, Manish Shah, Vivian Strong and 3 more

Abstract read
In one paragraph

Article in Annals of surgery, 2018. 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
1.0field-weighted citation impact, top 22% 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, 10 citations in OpenAlex.

  1. Fifty years of progress in gastric cancer.Journal of surgical oncology · 2022
    Article
  2. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors at 1 institution in 1 country.

Jonathan M HernandezGastric and Mixed Tumor Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY.
Volkan BeylergilDepartment of Nuclear Medicine, Memorial Sloan Kettering Cancer Center, New York, NY.
Debra A GoldmanDepartment of Epidemiology & Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY.
Elke van BeekGastric and Mixed Tumor Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY.
Mithat GonenDepartment of Epidemiology & Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY.
Laura TangDepartment of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY.
Robert DowneyThoracic Tumor Service, Memorial Sloan Kettering Cancer Center, New York, NY.
Nabil RizkThoracic Tumor Service, Memorial Sloan Kettering Cancer Center, New York, NY.
Manish ShahGastrointestinal Oncology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY.
Vivian StrongGastric and Mixed Tumor Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY.
Yelena JanjigianGastrointestinal Oncology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY.
Heiko SchöderDepartment of Nuclear Medicine, Memorial Sloan Kettering Cancer Center, New York, NY.
Daniel G CoitGastric and Mixed Tumor Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY.
Memorial Sloan Kettering Cancer Center · US

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Nicholas D Socci · 1985 to 2026
$347.4M
Evaluating outcomes for patients with primary-metastatic gastrointestinal cancerZIABC011861 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI HERNANDEZ, JONATHAN · 2019 to 2025
$166k
NCI NIH HHS P30 CA008748
6 · The paper itself

Abstract

objectiveTo determine whether changes in positron emission tomography (PET) avidity correlated with histologic response and were independently associated with outcome.

backgroundThe implications of metabolic response to neoadjuvant therapy as measured by repeat PET imaging remain ill-defined for patients with gastric and gastroesophageal junction (GEJ) cancers.

methodsWe identified patients with gastric and GEJ adenocarcinoma who were evaluated with PET imaging before and following neoadjuvant treatment, and subsequently underwent curative resections. Spearman rank correlation and Cox proportional hazards regression were used to evaluate standardized uptake value (SUV) and histologic response, pathologic parameters, and disease-specific survival (DSS).

resultsFrom 2002 to 2013, 192 patients met our inclusion criteria. The median SUVmax response was 57.3% (range: -110% to 100%) for patients with GEJ cancers, with a corresponding median pathologic treatment response of 80% (range: 0% to 100%). The median SUVmax response was 32.5% (-230% to 100%) for patients with gastric cancers, with a corresponding median pathologic treatment response of 35% (range: 0% to 100%). The Spearman correlation between SUVmax response and histologic response was significant for patients with GEJ (rho = 0.19, P = 0.04) and gastric (rho = 0.44, P < 0.0001) cancers. For patients with GEJ (P <0.0001 to 0.046) and gastric cancers (P = 0.0003 to 0.016), histopathologic response and tumor staging predicted DSS. SUVmax response failed to demonstrate a relationship with DSS when entered into multivariable models containing conventional pathologic variables.

conclusionFollowing completion of neoadjuvant therapy for gastric and GEJ adenocarcinoma, histopathologic staging remains the best predictor of outcome. Repeat post-treatment/preoperative PET imaging for the purpose of prognostication is of limited value.

Indexed as

Esophagogastric JunctionAdenocarcinomaAdultAgedAged, 80 and overChemoradiotherapy, AdjuvantDisease-Free SurvivalEsophagectomyFemaleFollow-Up StudiesGastrectomyHumansMaleMiddle AgedNeoadjuvant TherapyNeoplasm Staging

Identifiers

PMID28767564
PMCPMC5794647
OpenAlexW2741340376

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.