Evidence map›Paper›PMID 31420360›Full record

Trial reportClinical cancer research : an official journal of the American Association for Cancer Research2019

Nomogram to Predict the Benefit of Intensive Treatment for Locoregionally Advanced Head and Neck Cancer.

Loren K Mell, Hanjie Shen, Phuc Felix Nguyen-Tân, David I Rosenthal, Kaveh Zakeri, Lucas K Vitzthum, Steven J Frank, Peter B Schiff, Andy M Trotti, James A Bonner and 8 more

Open access · greenAbstract readMulticenter StudyRandomized Controlled Trial
In one paragraph

Trial report in Clinical cancer research : an official journal of the American Association for Cancer Research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
2.6field-weighted citation impact, top 10% 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

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 27 citations in OpenAlex.

  1. Pooled it
  2. Re-examining post-operative chemoradiotherapy in head and neck cancer: an updated long-term combined analysis of RTOG 9501/EORTC 22931.Annals of oncology : official journal of the European Society for Medical Oncology · 2025
    Trial
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Review
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  10. Review
  11. Article
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  13. Article
  14. JCO precision oncology · 2021
    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

18 authors at 14 institutions in 3 countries.

Loren K MellDepartment of Radiation Medicine and Applied Sciences, University of California San Diego, La Jolla, California. lmell@ucsd.edu.
Hanjie ShenDepartment of Radiation Medicine and Applied Sciences, University of California San Diego, La Jolla, California.
Phuc Felix Nguyen-TânDepartment of Radiation Oncology, Centre Hospitalier de l'Université de Montreal, Montreal, Quebec, Canada.
David I RosenthalDepartment of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Kaveh ZakeriDepartment of Radiation Medicine and Applied Sciences, University of California San Diego, La Jolla, California.
Lucas K VitzthumDepartment of Radiation Medicine and Applied Sciences, University of California San Diego, La Jolla, California.
Steven J FrankDepartment of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Peter B SchiffDepartment of Radiation Oncology, New York University School of Medicine, New York, New York.
Andy M TrottiDepartment of Radiation Oncology, Moffitt Cancer Center, Tampa, Florida.
James A BonnerDepartment of Radiation Oncology, Hazelrig-Salter Radiation Oncology Center, The University of Alabama at Birmingham, Birmingham, Alabama.
Christopher U JonesRadiological Associates of Sacramento, Sacramento, California.
Sue S YomDepartment of Radiation Oncology, University of California, San Francisco, San Francisco, California.
Wade L ThorstadDepartment of Radiation Oncology, Washington University School of Medicine, St. Louis, Missouri.
Stuart J WongDivision of Hematology Oncology, Department of Medicine, Medical College of Wisconsin, Milwaukee, Wisconsin.
George ShenoudaDepartment of Radiation Oncology, McGill University Health Centre, Montreal, Quebec, Canada.
John A RidgeDepartment of Surgical Oncology, Fox Chase Cancer Center, Philadelphia, Pennsylvania.
Qiang E ZhangNRG Oncology Statistics and Data Management Center, Philadelphia, Pennsylvania.
Quynh-Thu LeDepartment of Radiation Oncology, Stanford University School of Medicine, Stanford, California.
University of California San Diego · USThe University of Texas MD Anderson Cancer Center · USCentre Hospitalier de l’Université de Montréal · CADepartment of Physiological Sciences · RUFox Chase Cancer Center · USMcGill University Health Centre · CAMedical College of Wisconsin · USMoffitt Cancer Center · USNew York University · USNRG Oncology · USStanford Medicine · USUniversity of Alabama at Birmingham · USUniversity of California, San Francisco · USWashington University in St. Louis · US

Funding

NRG Oncology Network Group Operations Center - GY9 BIQSFP Reports/BudgetsU10CA180868 · NCI · NRG ONCOLOGY FOUNDATION, INC. · PI NORMAN WOLMARK · 2014 to 2026
$206.8M
Statistics CoreU10CA180822 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Mei-Yin C Polley · 2014 to 2026
$146.4M
NCI NIH HHS U10 CA180822NCI NIH HHS U10 CA180868
6 · The paper itself

Abstract

purposePrevious studies indicate that the benefit of therapy depends on patients' risk for cancer recurrence relative to noncancer mortality (ω ratio). We sought to test the hypothesis that patients with head and neck cancer (HNC) with a higher ω ratio selectively benefit from intensive therapy. EXPERIMENTAL

designWe analyzed 2,688 patients with stage III-IVB HNC undergoing primary radiotherapy (RT) with or without systemic therapy on three phase III trials (RTOG 9003, RTOG 0129, and RTOG 0522). We used generalized competing event regression to stratify patients according to ω ratio and compared the effectiveness of intensive therapy as a function of predicted ω ratio (i.e., ω score). Intensive therapy was defined as treatment on an experimental arm with altered fractionation and/or multiagent concurrent systemic therapy. A nomogram was developed to predict patients' ω score on the basis of tumor, demographic, and health factors. Analysis was by intention to treat.

resultsDecreasing age, improved performance status, higher body mass index, node-positive status, P16-negative status, and oral cavity primary predicted a higher ω ratio. Patients with ω score ≥0.80 were more likely to benefit from intensive treatment [5-year overall survival (OS), 70.0% vs. 56.6%; HR of 0.73, 95% confidence interval (CI): 0.57-0.94;

conclusionsPatients with HNC with a higher ω score selectively benefit from intensive treatment. A nomogram was developed to help select patients for intensive therapy.

Indexed as

NomogramsAdultAgedAged, 80 and overCase-Control StudiesChemoradiotherapyFemaleFollow-Up StudiesHead and Neck NeoplasmsHumansMaleMiddle AgedNeoplasm Recurrence, LocalPrognosisSurvival Rate

Identifiers

PMID31420360
PMCPMC7028339
OpenAlexW2967929450

What OpenQuestion holds

Textmetadata
LicenceTDM
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.