Evidence map›Paper›PMID 24136891›Full record

ArticleJournal of the National Cancer Institute2013

Statistical and practical considerations for clinical evaluation of predictive biomarkers.

Mei-Yin C Polley, Boris Freidlin, Edward L Korn, Barbara A Conley, Jeffrey S Abrams, Lisa M McShane

Abstract read
In one paragraph

Article in Journal of the National Cancer Institute, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 76 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
76citing papers in PubMed, 3 pooled it
–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

76 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Guideline
  3. Guideline
  4. 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
  5. Trial
  6. Trial
  7. Trial
  8. Trial
  9. Trial
  10. Trial
  11. Trial
  12. Article
  13. Article
  14. Review
  15. Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. Review

16 more citing papers are in PubMed but not listed here.

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

6 authors.

Mei-Yin C PolleyAffiliations of authors: Biometric Research Branch (M-YCP, BF, ELK, LMS), Cancer Diagnosis Program (BAC), and Cancer Treatment and Evaluation Program (JSA), Division of Cancer Treatment and Diagnosis, National Cancer Institute, National Institutes of Health, Bethesda, MD.
Boris Freidlin
Edward L Korn
Barbara A Conley
Jeffrey S Abrams
Lisa M McShane

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Predictive biomarkers to guide therapy for cancer patients are a cornerstone of precision medicine. Discussed herein are considerations regarding the design and interpretation of such predictive biomarker studies. These considerations are important for both planning and interpreting prospective studies and for using specimens collected from completed randomized clinical trials. Specific issues addressed are differentiation between qualitative and quantitative predictive effects, challenges due to sample size requirements for predictive biomarker assessment, and consideration of additional factors relevant to clinical utility assessment, such as toxicity and cost of new therapies as well as costs and potential morbidities associated with routine use of biomarker-based tests.

Indexed as

Biomarkers, TumorMolecular Targeted TherapySample SizeAntineoplastic AgentsCarcinoma, Non-Small-Cell LungCarcinoma, Renal CellDacarbazineDNA Modification MethylasesDNA Repair EnzymesErbB ReceptorsGefitinibGlioblastomaHumansIndazolesInterleukin-6Kidney NeoplasmsAntineoplastic AgentsBiomarkers, TumorDacarbazineDNA Modification MethylasesDNA Repair EnzymesErbB ReceptorsGefitinibIndazolesInterleukin-6MGMT protein, humanpazopanibPyrimidinesQuinazolinesSulfonamidesTemozolomideTumor Suppressor Proteins

Identifiers

PMID24136891
PMCPMC3888208

What OpenQuestion holds

Textmetadata
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.