Literature DB >> 23733149

The bottleneck effect in lung cancer clinical trials.

Luis E Gonzalez1, Steven K Sutton, Christie Pratt, Matthew Gilbertson, Scott Antonia, Gwendolyn P Quinn.   

Abstract

Clinical trials provide the most promising way to improve treatment outcomes in cancer. This study examined the rate at which eligible patients with lung cancer, at a National Cancer Institute-designated cancer center in the South, were offered a clinical trial and explored for reasons for ineligibility. We retrospectively reviewed 300 randomly selected lung cancer patients' medical records seen in 2010, to assess clinical trial offers to eligible patients, reasons for not offering an eligible patient a trial, demographic factors associated with eligibility, and reasons for refusal among those offered a trial. Of the 300 patient charts, seven were excluded for lack of confirmed lung cancer diagnosis. Forty-six of the remaining 293 (15.7%) patients were eligible for a clinical trial. Forty-five of the 46 (97.8%) were considered for a trial by their oncologist. Thirty-five of the 45 (77.8%) were offered a trial: 15 agreed (42.9% of those offered, 5.1% of patients reviewed), 11 declined, and 9 were undecided at the end of the review window. Patients with poor Eastern Cooperative Oncology Group (ECOG) performance status levels and small cell (SC) diagnoses were significantly less likely to be eligible for a trial. Results suggest that oncologists at the cancer center are effectively presenting all eligible patients with the option of a clinical trial; however, there is a need to increase the number of approved clinical trials for patients with SC or ECOG score greater than 2.

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Year:  2013        PMID: 23733149      PMCID: PMC4501775          DOI: 10.1007/s13187-013-0491-z

Source DB:  PubMed          Journal:  J Cancer Educ        ISSN: 0885-8195            Impact factor:   2.037


  17 in total

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2.  Prospective evaluation of cancer clinical trial accrual patterns: identifying potential barriers to enrollment.

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3.  Factors that predict the referral of breast cancer patients onto clinical trials by their surgeons and medical oncologists.

Authors:  L A Siminoff; A Zhang; N Colabianchi; C M Sturm; Q Shen
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4.  How sociodemographics, presence of oncology specialists, and hospital cancer programs affect accrual to cancer treatment trials.

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8.  Stigma, shame, and blame experienced by patients with lung cancer: qualitative study.

Authors:  A Chapple; S Ziebland; A McPherson
Journal:  BMJ       Date:  2004-06-11

9.  Physicians' reasons for not entering eligible patients in a randomized clinical trial of surgery for breast cancer.

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10.  Participation in cancer clinical trials: race-, sex-, and age-based disparities.

Authors:  Vivek H Murthy; Harlan M Krumholz; Cary P Gross
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2.  Transporting Subgroup Analyses of Randomized Controlled Trials for Planning Implementation of New Interventions.

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Journal:  Am J Epidemiol       Date:  2021-08-01       Impact factor: 4.897

3.  Examining Differences in Opportunity and Eligibility for Cancer Clinical Trial Participation Based on Sociodemographic and Disease Characteristics.

Authors:  Jessica Rearden; Alexandra L Hanlon; Connie Ulrich; Margo Brooks-Carthon; Marilyn Sommers
Journal:  Oncol Nurs Forum       Date:  2016-01       Impact factor: 2.172

  3 in total

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