Evidence map›Paper›PMID 40832011›Full record

ArticleFederal practitioner : for the health care professionals of the VA, DoD, and PHS2025

Mapping Pathology Work Associated With Precision Oncology Testing.

Daniel J Mettman, Linlin Gao, Karsten Evans, Amy B Frey, Maren T Scheuner, J Stacey Klutts, M Carmen Frias-Kletecka, Jessica Wang-Rodriguez, Daniel J Becker, Sharad C Mathur and 1 more

Abstract read
In one paragraph

Article in Federal practitioner : for the health care professionals of the VA, DoD, and PHS, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

11 authors.

Daniel J MettmanKansas City Veterans Affairs Medical Center, Missouri.
Linlin GaoKansas City Veterans Affairs Medical Center, Missouri.
Karsten EvansKansas City Veterans Affairs Medical Center, Missouri.
Amy B FreyRocky Mountain Regional Veterans Affairs Medical Center, Aurora, Colorado.
Maren T ScheunerSan Francisco Veterans Affairs Health Care System, California.
J Stacey KluttsUniversity of Iowa Carver College of Medicine, Iowa City.
M Carmen Frias-KleteckaWest Los Angeles Veterans Affairs Healthcare System, California.
Jessica Wang-RodriguezNational Veterans Affairs Pathology and Laboratory Medicine Program Office, Bethesda, Maryland.
Daniel J BeckerVeterans Affairs New York Harbor Healthcare System, Manhattan.
Sharad C MathurKansas City Veterans Affairs Medical Center, Missouri.
Michael M GoodmanW. G. (Bill) Hefner Salisbury Department of Veterans Affairs Medical Center, Salisbury, North Carolina.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Management of precision oncology testing imposes a substantial burden on pathology departments. As the number of tests continue to grow, developing more efficient processes will become even more important. Observations: A consult process for anatomic pathology molecular testing offers a way to maximize efficiency. While use of such a consult has been reported, detailed descriptions of the steps involved to facilitate adoption and adaptation at prospective sites is lacking. This article describes a consult process that was implemented at the Kansas City Veterans Affairs Medical Center in 2021. Areas of inefficiency are identified and a target process map is presented. Conclusions: The proposed consult process increases test utilization, ensures appropriateness of orders, standardizes reporting, and improves efficiency. Laboratory understaffing and growing demand for testing necessitate more efficient processes for pathology to manage the workload and maintain the highest quality of cancer care.

Identifiers

PMID40832011
PMCPMC12360821

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.