Evidence map›Paper›PMID 35929009›Full record

ReviewFederal practitioner : for the health care professionals of the VA, DoD, and PHS2022

Ordering and Interpreting Precision Oncology Studies for Adults With Advanced Solid Tumors: A Primer.

Bruce Montgomery, Sunny Wang, Matthew Rettig, Benson Lee, Jill Bates, Colin Pritchard

Open access · bronzeAbstract readReview
In one paragraph

Review in Federal practitioner : for the health care professionals of the VA, DoD, and PHS, 2022. 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
0.1field-weighted citation impact, top 61% of its field
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 citations in OpenAlex.

  1. 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

6 authors at 1 institution in 1 country.

Bruce MontgomeryVeterans Affairs Puget Sound Health Care System, Seattle, Washington.
Sunny WangSan Francisco Veterans Affairs Health Care System, California.
Matthew RettigGreater Los Angeles Health Care System, California.
Benson LeeGreater Los Angeles Health Care System, California.
Jill BatesDurham Veterans Affairs Medical Center, North Carolina.
Colin PritchardUniversity of Washington, Seattle.
Seattle University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The promise of precision oncology can only be realized when genetic alterations are identified that can be leveraged to improve response and minimize toxicity. Identifying those alterations requires the knowledge to order the right test and to interpret the results correctly. This primer is designed to help clinicians order the appropriate testing for patients with specific malignancies and to give them an informed approach to interpretation. Observations: Germline DNA is usually acquired from peripheral blood, buccal swab, or saliva collection in patients with a metastatic malignancy and can provide treatment options otherwise not available. However, germline testing does not indicate alterations that arise solely in tumor tissue. Somatic testing may be performed on primary tumor, metastatic biopsy, or circulating tumor DNA when the alteration is present at the time that the tumor developed and expected to be carried through the evolution of the tumor. Conclusions: The rapid growth in technology and ability to enhance understanding of relevant tumor biology continues to improve the therapeutic landscape for individuals dealing with malignancy as does our ability to find targetable genetic alterations with the potential for meaningful clinical benefit.

Identifiers

PMID35929009
PMCPMC9346578
OpenAlexW4288057658

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.