Evidence map›Paper›PMID 24130072›Full record

ArticleClinical cancer research : an official journal of the American Association for Cancer Research2013

A comparative analysis of prognostic factor models for follicular lymphoma based on a phase III trial of CHOP-rituximab versus CHOP + 131iodine--tositumomab.

Oliver W Press, Joseph M Unger, Lisa M Rimsza, Jonathan W Friedberg, Michael LeBlanc, Myron S Czuczman, Mark Kaminski, Rita M Braziel, Catherine Spier, Ajay K Gopal and 5 more

Open access · greenAbstract readComparative Study
In one paragraph

Article in Clinical cancer research : an official journal of the American Association for Cancer Research, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
1.9field-weighted citation impact, top 15% 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

22 citing papers in PubMed, 40 citations in OpenAlex.

  1. Trial
  2. Trial
  3. Trial
  4. Trial
  5. Low Serum Vitamin D Levels Are Associated With Inferior Survival in Follicular Lymphoma: A Prospective Evaluation in SWOG and LYSA Studies.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2015
    Trial
  6. Review
  7. Article
  8. Article
  9. Follicular lymphoma: is there an optimal way to define risk?Hematology. American Society of Hematology. Education Program · 2021
    Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Sequencing of therapies in relapsed follicular lymphoma.Hematology. American Society of Hematology. Education Program · 2018
    Review
  17. Unmet needs in the first-line treatment of follicular lymphoma.Annals of oncology : official journal of the European Society for Medical Oncology · 2017
    Review
  18. Review
  19. Recommendations for Clinical Trial Development in Follicular Lymphoma.Journal of the National Cancer Institute · 2017
    Review
  20. Targeted Radionuclide Therapy of Human Tumors.International journal of molecular sciences · 2015
    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

15 authors at 1 institution in 1 country.

Oliver W PressAuthors' Affiliations: Clinical Research Division; SWOG Statistical Center, Fred Hutchinson Cancer Research Center; Medical Oncology, University of Washington Medical Center, Seattle, Washington; Department of Pathology; Arizona Cancer Center, University of Arizona, Tucson, Arizona; James P. Wilmot Cancer Center, University of Rochester Medical Center, Rochester; Roswell Park Cancer Institute, Buffalo, New York; Cancer and Leukemia Group B; University of Michigan, Ann Arbor, Michigan; Department of Pathology, Oregon Health and Science University, Portland, Oregon; Georgetown University Hospital, Washington; Wichita Community Clinical Oncology Program, Wichita, Kansas; and Fox Chase Cancer Center-Temple Health, Temple University, Philadelphia PA.
Joseph M Unger
Lisa M Rimsza
Jonathan W Friedberg
Michael LeBlanc
Myron S Czuczman
Mark Kaminski
Rita M Braziel
Catherine Spier
Ajay K Gopal
David G Maloney
Bruce D Cheson
Shaker R Dakhil
Thomas P Miller
Richard I Fisher
Georgetown University · US

Funding

CANCER AND LEUKEMIA GROUP B MINORITY SATELLITE SUPPLEMENU10CA031946 · NCI · UNIVERSITY OF CHICAGO · PI BERTAGNOLLI, MONICA M · 1985 to 2013
$158.4M
SWOG - Foreign Accrual under UMiU10CA032102 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI BLANKE, CHARLES D. · 1985 to 2013
$141.3M
SOUTHWEST ONCOLOGY GROUP--STATISTICAL CENTERU10CA038926 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI LEBLANC, MICHAEL L. · 1985 to 2013
$69.8M
SOUTHEAST CANCER CONTROL COSORTIUM, INCU10CA045808 · NCI · SOUTHEAST CLINICAL ONCOL RES CONSORTIUM · PI ATKINS, JAMES NORMAN · 1987 to 2013
$26.6M
COMMUNITY CLINICAL ONCOLOGY PROGRAMU10CA035431 · NCI · VIA CHRISTI REGIONAL MEDICAL CENTER · PI DAKHIL, SHAKER R · 1985 to 2014
$24.0M
UPSTATE CAROLINA COMMUNITY CLINICAL ONCOLOGY PROGRAMU10CA035119 · NCI · SPARTANBURG REGIONAL MEDICAL CENTER · PI BEARDEN, JAMES D · 1985 to 2013
$21.5M
GRAND RAPIDS CLINICAL ONCOLOGY PROGRAMU10CA035178 · NCI · SPECTRUM HEALTH HOSPITALS · PI PADULA, GILBERT DARIN ANTHONY · 1985 to 2014
$16.2M
DAYTON CLINICAL ONCOLOGY PROGRAMU10CA035090 · NCI · KETTERING MEDICAL CENTER · PI GROSS, HOWARD M · 1985 to 2014
$12.0M
GREENVILLE, SOUTH CAROLINA CCOPU10CA067663 · NCI · PRISMA HEALTH - UPSTATE · PI GIGUERE, JEFFREY K · 1995 to 2014
$11.7M
COMMUNITY CLINICAL ONCOLOGY PROGRAMU10CA035261 · NCI · GRANT/RIVERSIDE METHODIST HOSPITALS · PI KUEBLER, PHILIP J. · 1985 to 2014
$10.6M
WESTERN ONCOLOGY RESEARCH CONSORTIUMU10CA045377 · NCI · PROVIDENCE PORTLAND MEDICAL CENTER · PI CONLIN, ALISON K · 1987 to 2013
$9.9M
NORTHWEST COMMUNITY CLINICAL ONCOLOGY PROGRAMU10CA035281 · NCI · TACOMA GENERAL HOSPITAL · PI KEECH, JOHN A · 1985 to 2013
$9.2M
NCI NIH HHS CA073590NCI NIH HHS CA11083NCI NIH HHS CA12644NCI NIH HHS CA14028NCI NIH HHS CA16385NCI NIH HHS CA20319NCI NIH HHS CA22433NCI NIH HHS CA31946NCI NIH HHS CA35090NCI NIH HHS CA35128NCI NIH HHS CA35192NCI NIH HHS CA35261NCI NIH HHS CA35281NCI NIH HHS CA37981NCI NIH HHS CA45377NCI NIH HHS CA45450NCI NIH HHS CA45808NCI NIH HHS CA46282NCI NIH HHS CA52654NCI NIH HHS CA58416NCI NIH HHS CA58723NCI NIH HHS CA58861NCI NIH HHS CA58882NCI NIH HHS CA67663NCI NIH HHS CA74811NCI NIH HHS CA76429NCI NIH HHS CA76447NCI NIH HHS N01 CA004919NCI NIH HHS N01 CA013612NCI NIH HHS N01 CA027057NCI NIH HHS N01 CA032102NCI NIH HHS N01 CA035119NCI NIH HHS N01 CA035176NCI NIH HHS N01 CA035178NCI NIH HHS N01 CA035431NCI NIH HHS N01 CA038926NCI NIH HHS N01 CA045560NCI NIH HHS N01 CA046441NCI NIH HHS N01 CA063844NCI NIH HHS N01 CA067575NCI NIH HHS NCIR01 CA076287NCI NIH HHS R01 CA076287NCI NIH HHS U10 CA004919NCI NIH HHS U10 CA011083NCI NIH HHS U10 CA012644NCI NIH HHS U10 CA013612NCI NIH HHS U10 CA014028NCI NIH HHS U10 CA016385NCI NIH HHS U10 CA020319NCI NIH HHS U10 CA022433NCI NIH HHS U10 CA027057NCI NIH HHS U10 CA031946NCI NIH HHS U10 CA032102NCI NIH HHS U10 CA035090NCI NIH HHS U10 CA035119NCI NIH HHS U10 CA035128NCI NIH HHS U10 CA035176NCI NIH HHS U10 CA035178NCI NIH HHS U10 CA035192NCI NIH HHS U10 CA035261NCI NIH HHS U10 CA035281NCI NIH HHS U10 CA035431NCI NIH HHS U10 CA037981NCI NIH HHS U10 CA038926NCI NIH HHS U10 CA045377NCI NIH HHS U10 CA045450NCI NIH HHS U10 CA045560NCI NIH HHS U10 CA045808NCI NIH HHS U10 CA046282NCI NIH HHS U10 CA046441NCI NIH HHS U10 CA052654NCI NIH HHS U10 CA058416NCI NIH HHS U10 CA058861NCI NIH HHS U10 CA058882NCI NIH HHS U10 CA063844NCI NIH HHS U10 CA067575NCI NIH HHS U10 CA067663NCI NIH HHS U10 CA073590NCI NIH HHS U10 CA074811NCI NIH HHS U10 CA076447
6 · The paper itself

Abstract

purposeThere is currently no consensus on optimal frontline therapy for patients with follicular lymphoma. We analyzed a phase III randomized intergroup trial comparing six cycles of CHOP-R (cyclophosphamide-Adriamycin-vincristine-prednisone (Oncovin)-rituximab) with six cycles of CHOP followed by iodine-131 tositumomab radioimmunotherapy (RIT) to assess whether any subsets benefited more from one treatment or the other, and to compare three prognostic models. EXPERIMENTAL

designWe conducted univariate and multivariate Cox regression analyses of 532 patients enrolled on this trial and compared the prognostic value of the FLIPI (follicular lymphoma international prognostic index), FLIPI2, and LDH + β2M (lactate dehydrogenase + β2-microglobulin) models.

resultsOutcomes were excellent, but not statistically different between the two study arms [5-year progression-free survival (PFS) of 60% with CHOP-R and 66% with CHOP-RIT (P = 0.11); 5-year overall survival (OS) of 92% with CHOP-R and 86% with CHOP-RIT (P = 0.08); overall response rate of 84% for both arms]. The only factor found to potentially predict the impact of treatment was serum β2M; among patients with normal β2M, CHOP-RIT patients had better PFS compared with CHOP-R patients, whereas among patients with high serum β2M, PFS by arm was similar (interaction P value = 0.02).

conclusionsAll three prognostic models (FLIPI, FLIPI2, and LDH + β2M) predicted both PFS and OS well, though the LDH + β2M model is easiest to apply and identified an especially poor risk subset. In an exploratory analysis using the latter model, there was a statistically significant trend suggesting that low-risk patients had superior observed PFS if treated with CHOP-RIT, whereas high-risk patients had a better PFS with CHOP-R.

Indexed as

AdultAged, 80 and overAntibodies, MonoclonalAntibodies, Monoclonal, Murine-DerivedAntineoplastic Combined Chemotherapy Protocolsbeta 2-MicroglobulinClinical Trials, Phase III as TopicCyclophosphamideDisease-Free SurvivalDoxorubicinHemoglobinsHumansKaplan-Meier EstimateLymph NodesLymphoma, FollicularMiddle AgedAntibodies, MonoclonalAntibodies, Monoclonal, Murine-Derivedbeta 2-MicroglobulinCyclophosphamideDoxorubicinHemoglobinsPrednisoneRituximabtositumomab I-131Vincristine

Identifiers

PMID24130072
PMCPMC3872052
OpenAlexW2121101566

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.