Evidence map›Paper›PMID 32821082›Full record

ReviewBiomarker insights2020

Simple Methods for Evaluating 4 Types of Biomarkers: Surrogate Endpoint, Prognostic, Predictive, and Cancer Screening.

Stuart G Baker, Barnett S Kramer

Abstract readReview
In one paragraph

Review in Biomarker insights, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Trial
  2. A simplified MyProstateScore2.0 for high-grade prostate cancer.Cancer biomarkers : section A of Disease markers · 2025
    Article
  3. Article
  4. Evaluating Risk Prediction with Data Collection Costs: Novel Estimation of Test Tradeoff Curves.Medical decision making : an international journal of the Society for Medical Decision Making · 2024
    Article
  5. MS-Based Proteomics of Body Fluids: The End of the Beginning.Molecular & cellular proteomics : MCP · 2023
    Article
  6. 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

2 authors.

Stuart G BakerBiometry Research Group, Division of Cancer Prevention, National Cancer Institute, Bethesda, MD, USA.ORCID https://orcid.org/0000-0001-6759-2838
Barnett S KramerBiometry Research Group, Division of Cancer Prevention, National Cancer Institute, Bethesda, MD, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We review simple methods for evaluating 4 types of biomarkers. First, we discuss the evaluation of surrogate endpoint biomarkers (to shorten a randomized trial) using 2 statistical and 3 biological criteria. Second, we discuss the evaluation of prognostic biomarkers (to predict the risk of disease) by comparing data collection costs with the anticipated net benefit of risk prediction. Third, we discuss the evaluation of predictive markers (to search for a promising subgroup in a randomized trial) using a multivariate subpopulation treatment effect pattern plot involving a risk difference or responders-only benefit function. Fourth, we discuss the evaluation of cancer screening biomarkers (to predict cancer in asymptomatic persons) using methodology to substantially reduce the sample size with stored specimens.

Indexed as

Decision curvenet benefitrelative utility curverisk-based decision-makingrisk prediction

Identifiers

PMID32821082
PMCPMC7412628

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.