Evidence map›Paper›PMID 28740896›Full record

ReviewAdvances in radiation oncology

The big data effort in radiation oncology: Data mining or data farming?

Charles S Mayo, Marc L Kessler, Avraham Eisbruch, Grant Weyburne, Mary Feng, James A Hayman, Shruti Jolly, Issam El Naqa, Jean M Moran, Martha M Matuszak and 7 more

Abstract readReview
In one paragraph

Review in Advances in radiation oncology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 1 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

35 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Guideline
  2. A Phase II Study of Optimized Individualized Adaptive Radiotherapy for Hepatocellular Carcinoma.Clinical cancer research : an official journal of the American Association for Cancer Research · 2023
    Trial
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Review
  16. Molecular Biology in Treatment Decision Processes-Neuro-Oncology Edition.International journal of molecular sciences · 2021
    Review
  17. Article
  18. Article
  19. Review
  20. 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

17 authors.

Charles S MayoDepartment of Radiation Oncology, University of Michigan, Ann Arbor, Michigan.
Marc L KesslerDepartment of Radiation Oncology, University of Michigan, Ann Arbor, Michigan.
Avraham EisbruchDepartment of Radiation Oncology, University of Michigan, Ann Arbor, Michigan.
Grant WeyburneDepartment of Radiation Oncology, University of Michigan, Ann Arbor, Michigan.
Mary FengDepartment of Radiation Oncology, University of California at San Francisco, San Francisco, California.
James A HaymanDepartment of Radiation Oncology, University of Michigan, Ann Arbor, Michigan.
Shruti JollyDepartment of Radiation Oncology, University of Michigan, Ann Arbor, Michigan.
Issam El NaqaDepartment of Radiation Oncology, University of Michigan, Ann Arbor, Michigan.
Jean M MoranDepartment of Radiation Oncology, University of Michigan, Ann Arbor, Michigan.
Martha M MatuszakDepartment of Radiation Oncology, University of Michigan, Ann Arbor, Michigan.
Carlos J AndersonDepartment of Radiation Oncology, University of Michigan, Ann Arbor, Michigan.
Lynn P HolevinskiDepartment of Radiation Oncology, University of Michigan, Ann Arbor, Michigan.
Daniel L McShanDepartment of Radiation Oncology, University of Michigan, Ann Arbor, Michigan.
Sue M MerkelDepartment of Radiation Oncology, University of Michigan, Ann Arbor, Michigan.
Sherry L MachnakDepartment of Radiation Oncology, University of Michigan, Ann Arbor, Michigan.
Theodore S LawrenceDepartment of Radiation Oncology, University of Michigan, Ann Arbor, Michigan.
Randall K Ten HakenDepartment of Radiation Oncology, University of Michigan, Ann Arbor, Michigan.

Funding

TREATMENT VERIFICATION AND TREATMENT PLAN REFINEMENTP01CA059827 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI KESSLER, MARC LEWIS, LAWRENCE, THEODORE S · 1993 to 2018
$37.9M
NCI NIH HHS P01 CA059827
6 · The paper itself

Abstract

Although large volumes of information are entered into our electronic health care records, radiation oncology information systems and treatment planning systems on a daily basis, the goal of extracting and using this big data has been slow to emerge. Development of strategies to meet this goal is aided by examining issues with a data farming instead of a data mining conceptualization. Using this model, a vision of key data elements, clinical process changes, technology issues and solutions, and role for professional societies is presented. With a better view of technology, process and standardization factors, definition and prioritization of efforts can be more effectively directed.

Identifiers

PMID28740896
PMCPMC5514231

What OpenQuestion holds

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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.