Evidence map›Paper›PMID 32134701›Full record

ArticleJournal of clinical oncology : official journal of the American Society of Clinical Oncology2020

State of the Art: Toward Improving Outcomes of Lung and Liver Tumor Biopsies in Clinical Trials-A Multidisciplinary Approach.

Elliot B Levy, Maria I Fiel, Stanley R Hamilton, David E Kleiner, Shannon J McCall, Peter Schirmacher, William Travis, Michael D Kuo, Robert D Suh, Alda L Tam and 5 more

Abstract read
In one paragraph

Article in Journal of clinical oncology : official journal of the American Society of Clinical Oncology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Review
  8. Article
  9. Optimal image guidance for tumor biopsy in non-small-cell lung cancer.European journal of nuclear medicine and molecular imaging · 2020
    Article
  10. 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

15 authors.

Elliot B LevyCenter for Interventional Oncology, Radiology and Imaging Sciences and Center for Cancer Research, National Institutes of Health, Bethesda, MD.
Maria I FielDepartment of Pathology, Icahn School of Medicine at Mount Sinai, New York, NY.
Stanley R HamiltonPathology and Laboratory Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX.
David E KleinerLaboratory of Pathology, National Institutes of Health, Bethesda, MD.
Shannon J McCallDepartment of Pathology, Duke University, Durham, NC.
Peter SchirmacherInstitute of Pathology, University of Heidelberg, Heidelberg, Germany.
William TravisDepartment of Pathology, Memorial Sloan-Kettering Cancer Center, New York, NY.
Michael D KuoDepartment of Radiology Medical Artificial Intelligence Laboratory Initiative, The University of Hong Kong, Hong Kong.
Robert D SuhDepartment of Radiological Sciences, Ronald Reagan UCLA Medical Center, Los Angeles, CA.
Alda L TamDepartment of Interventional Radiology, MD Anderson Cancer Center, Houston, TX.
Shaheen U IslamDivision of Pulmonary, Critical Care & Sleep Medicine, Medical College of Georgia, Augusta University, Augusta, GA.
Katherine Ferry-GalowLaboratory of Human Toxicology and Pharmacology, Applied/ Developmental Research Support Directorate, Leidos Biomedical Research, Frederick National Laboratory for Cancer Research, Frederick, MD.
Rebecca A EnosThe EMMES Corporation, Rockville, MD.
James H DoroshowDivision of Cancer Treatment and Diagnosis, National Cancer Institute, Bethesda, MD.
Hala R MakhloufDivision of Cancer Treatment and Diagnosis, National Cancer Institute, Bethesda, MD.

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Hongbiao Carl Lekaye · 1985 to 2026
$347.4M
Postmortem PathologyZICBC010685 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI KLEINER, DAVID ERWIN · 2009 to 2025
$14.3M
Phase 01 Clinical TrialsZIABC011078 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI DOROSHOW, JAMES · 2009 to 2025
$9.0M
NCI NIH HHS P30 CA008748
6 · The paper itself

Abstract

purposeNational Cancer Institute (NCI)-sponsored clinical trial network studies frequently require biopsy specimens for pharmacodynamic and molecular biomarker analyses, including paired pre- and post-treatment samples. The purpose of this meeting of NCI-sponsored investigators was to identify local institutional standard procedures found to ensure quantitative and qualitative specimen adequacy.

methodsNCI convened a conference on best biopsy practices, focusing on the clinical research community. Topics discussed were (1) criteria for specimen adequacy in the personalized medicine era, (2) team-based approaches to ensure specimen adequacy and quality control, and (3) risk considerations relevant to academic and community practitioners and their patients. RESULTS AND RECOMMENDATIONS: Key recommendations from the convened consensus panel included (1) establishment of infrastructure for multidisciplinary biopsy teams with a formalized information capture process, (2) maintenance of standard operating procedures with regular team review, (3) optimization of tissue collection and yield methodology, (4) incorporation of needle aspiration and other newer techniques, and (5) commitment of stakeholders to use of guideline documents to increase awareness of best biopsy practices, with the goal of universally improving tumor biopsy practices.

Indexed as

BiopsyClinical Trials as TopicHumansLiver NeoplasmsLung NeoplasmsNational Cancer Institute (U.S.)Treatment OutcomeUnited States

Identifiers

PMID32134701
PMCPMC7351328

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.