ArticleMedical care2009
Accuracy and complexities of using automated clinical data for capturing chemotherapy administrations: implications for future research.
Article in Medical care, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
What it found
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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.
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.
Who cites it
14 citing papers in PubMed, 19 citations in OpenAlex.
- Validity of eight integrated healthcare delivery organizations' administrative clinical data to capture breast cancer chemotherapy exposure.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2012Trial
- Angina Severity, Mortality, and Healthcare Utilization Among Veterans With Stable Angina.Journal of the American Heart Association · 2019Article
- Hospitalization Risk During Chemotherapy for Advanced Cancer: Development and Validation of Risk Stratification Models Using Real-World Data.JCO clinical cancer informatics · 2019Article
- Algorithm to Identify Systemic Cancer Therapy Treatment Using Structured Electronic Data.JCO clinical cancer informatics · 2017Article
- Predicting neutropenia risk in patients with cancer using electronic data.Journal of the American Medical Informatics Association : JAMIA · 2017Article
- Comparison of SEER Treatment Data With Medicare Claims.Medical care · 2016Article
- Developing an Algorithm to Identify History of Cancer Using Electronic Medical Records.EGEMS (Washington, DC) · 2016Article
- Sustaining Research Networks: the Twenty-Year Experience of the HMO Research Network.EGEMS (Washington, DC) · 2014Article
- Diffusion of Intraperitoneal Chemotherapy in Women with Advanced Ovarian Cancer in Community Settings 2003-2008: The Effect of the NCI Clinical Recommendation.Frontiers in oncology · 2014Article
- Article
- Cancer research network: using integrated healthcare delivery systems as platforms for cancer survivorship research.Journal of cancer survivorship : research and practice · 2013Review
- A framework for understanding cancer comparative effectiveness research data needs.Journal of clinical epidemiology · 2012Article
- Data for cancer comparative effectiveness research: past, present, and future potential.Cancer · 2012Review
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors at 4 institutions in 1 country.
Funding
Abstract
backgroundChemotherapy data are important to almost any study on cancer prognosis and outcomes. However, chemotherapy data obtained from tumor registries may be incomplete, and abstracting chemotherapy directly from medical records can be expensive and time consuming.
methodsWe evaluated the accuracy of using automated clinical data to capture chemotherapy administrations in a cohort of 757 ovarian cancer patients enrolled in 7 health plans in the HMO Cancer Research Network. We calculated sensitivity and specificity with 95% confidence intervals of chemotherapy administrations extracted from 3 automated clinical data sources (Health Care Procedure Coding System, National Drug Codes, and International Classification of Diseases) compared with tumor registry data and medical chart data.
resultsSensitivity of all 3 data sources varied across health plans from 79.4% to 95.2% when compared with tumor registries, and 75.0% to 100.0% when compared with medical charts. The sensitivities using a combination of 3 data sources were 88.6% (95% confidence intervals: 85.7-91.1) compared with tumor registries and 89.5% (78.5-96.0) compared with medical records; specificities were 91.5% (86.4-95.2) and 90.0% (55.5-99.7), respectively. There was no difference in accuracy between women aged < 65 and > or = 65 years. Using one set of codes alone (eg, Health Care Procedure Coding System alone) was insufficient for capturing chemotherapy data at most health plans.
conclusionsWhile automated data systems are not without limitations, clinical codes used in combination are useful in capturing chemotherapy more comprehensively than tumor registry and without the need for costly medical record abstraction. Key Words: validation of automated clinical data, chemotherapy, medical chart, tumor registry, ovarian cancer.
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Registered trials
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.