Evidence map›Paper›PMID 31840130›Full record

ArticleJCO precision oncology2019

Developing and Validating Risk Assessment Models of Clinical Outcomes in Modern Oncology.

Susan Halabi, Cai Li, Sheng Luo

Abstract read
In one paragraph

Article in JCO precision oncology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Trial
  2. Factors Influencing Physician Adherence to Venous Thromboembolism Risk Assessment Model Recommendations: A Best-Worst Scaling.American journal of cardiovascular drugs : drugs, devices, and other interventions · 2026
    Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Review
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Observational
  17. Article
  18. Statistical Models in Clinical Studies.Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer · 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

3 authors.

Susan HalabiDepartment of Biostatistics and Bioinformatics, Duke University Medical Center, Durham, NC.
Cai LiDepartment of Biostatistics and Bioinformatics, Duke University Medical Center, Durham, NC.
Sheng LuoDepartment of Biostatistics and Bioinformatics, Duke University Medical Center, Durham, NC.

Funding

Statistical Methods for Clinical Trials with Multivariate Longitudinal OutcomesR01NS091307 · NINDS · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI LUO, SHENG · 2015 to 2018
$1.2M
Serum Androgens as Predictors of Survival in Metastatic Prostate CancerR21CA195424 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI HALABI, SUSAN, RYAN, CHARLES JAMES · 2015 to 2016
$398k
NCI NIH HHS R21 CA195424NINDS NIH HHS R01 NS091307
6 · The paper itself

Abstract

The identification of prognostic factors and building of risk assessment prognostic models will continue to play a major role in 21

Identifiers

PMID31840130
PMCPMC6908945

What OpenQuestion holds

Textmetadata
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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.