Evidence map›Paper›PMID 35315914›Full record

ArticleJAMA network open2022

Validation of a Population-Based Data Source to Examine National Cancer Clinical Trial Participation.

Angela K Green, Sara M Tabatabai, Xing Bai, Akriti Mishra Meza, Anne-Marie Lesny, Carol Aghajanian, Ola Landgren, Gregory J Riely, Paul Sabbatini, Andrew Salner and 6 more

Abstract read
In one paragraph

Article in JAMA network open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. 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

16 authors.

Angela K GreenDepartment of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York.
Sara M TabatabaiDepartment of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York.
Xing BaiDepartment of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York.
Akriti Mishra MezaDepartment of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York.
Anne-Marie LesnyPatient Revenue Support, Memorial Sloan Kettering Cancer Center, New York, New York.
Carol AghajanianDepartment of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York.
Ola LandgrenMyeloma Program, Sylvester Comprehensive Cancer Center, University of Miami, Miami, Florida.
Gregory J RielyDepartment of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York.
Paul SabbatiniDepartment of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York.
Andrew SalnerHartford Healthcare Cancer Institute, Hartford Hospital, Hartford, Connecticut.
Scott LipkinMiami Cancer Institute, Baptist Health South Florida, Miami.
Andrew IpDivision of Outcomes and Value Research, John Theurer Cancer Center, Hackensack University Medical Center, Hackensack, New Jersey.
Peter B BachDepartment of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York.
Colin B BeggDepartment of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York.
Sham MailankodyDepartment of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York.
Allison Lipitz-SnydermanDepartment of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York.

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Nicholas D Socci · 1985 to 2026
$347.4M
Linking population-based data sources to examine health disparities in clinical trial participation and outcomesR21CA235154 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI LIPITZ SNYDERMAN, ALLISON NICOLE, MAILANKODY, SHAM · 2019 to 2020
$430k
NCI NIH HHS P30 CA008748NCI NIH HHS R21 CA235154
6 · The paper itself

Abstract

Importance: The Centers for Medicare & Medicaid Services requires health care organizations to report the National Clinical Trial (NCT) identifier on claims for items and services related to clinical trials that qualify for coverage. This same NCT identifier is used to identify clinical trials in the ClinicalTrials.gov registry. If linked, this information could facilitate population-based analyses of clinical trial participation and outcomes. Objective: To evaluate the validity of a linkage between fee-for-service (FFS) Medicare claims and ClinicalTrials.gov through the NCT identifier for patients with cancer enrolled in clinical trials. Design, Setting, and Participants: This cohort study included 2 complementary retrospective analyses for a validation assessment. First, billing data from 3 health care institutions were used to estimate the missingness of the NCT identifier in claims by calculating the proportion of known participants in cancer clinical trials with no NCT identifier on any submitted Medicare claims. Second, the Surveillance Epidemiology and End Results-Medicare data set, which includes a subset of all FFS Medicare beneficiaries for whom health insurance claims are linked with cancer registry data, was used to identify adult patients diagnosed with cancer between 2006 and 2015 with an NCT identifier in claims corresponding to an interventional cancer clinical trial. To estimate the accuracy of the NCT identifier when present, the proportion of NCT identifiers that corresponded to trials that were aligned with the patients' known primary or secondary diagnoses was calculated. Data were analyzed from March 2020 to March 2021. Exposures: An NCT identifier present in Medicare claims. Main Outcomes and Measures: The main outcome was participating in a clinical trial relevant to patient's cancer diagnosis. Results: A total of 1 171 816 patients were included in analyses. Across the 3 participating institutions, there were 5061 Medicare patients enrolled in a clinical trial, including 3797 patients (75.0%) with an NCT identifier on at least 1 billing claim that matched the clinical trial on which the patient was participating. Among 1 171 816 SEER-Medicare patients, 29 138 patients (2.5%) had at least 1 claim with a value entered in the NCT identifier field corresponding to 32 950 unique patient-NCT identifier pairs. There were 26 694 pairs (81.0%) with an NCT identifier corresponding to a clinical trial registered in ClinicalTrials.gov, of which 10 170 pairs (38.1%) were interventional cancer clinical trials. Among these, 9805 pairs (96.4%) were considered appropriate. Conclusions and Relevance: In this cohort study, this data linkage provided a novel data source to study clinical trial enrollment patterns among Medicare patients with cancer on a population level. The presence of the NCT identifiers in claims for Medicare patients participating in clinical trials is likely to improve over time with increasing adherence with the Centers for Medicare & Medicaid Services mandate.

Indexed as

MedicareNeoplasmsAdultAgedCohort StudiesHumansInformation Storage and RetrievalRetrospective StudiesUnited States

Identifiers

PMID35315914
PMCPMC8941352

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.