Evidence map›Paper›PMID 21422962›Full record

ArticleMedical care2011

Tradeoffs of using administrative claims and medical records to identify the use of personalized medicine for patients with breast cancer.

Su-Ying Liang, Kathryn A Phillips, Grace Wang, Carol Keohane, Joanne Armstrong, William M Morris, Jennifer S Haas

Abstract read
In one paragraph

Article in Medical care, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 2 pooled it
–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

13 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Observational
  9. Article
  10. Intended versus inferred care after PET performed for initial staging in the National Oncologic PET Registry.Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2013
    Article
  11. Article
  12. Article
  13. 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

7 authors.

Su-Ying LiangDepartment of Clinical Pharmacy, School of Pharmacy, University of California, San Francisco, CA 94143, USA. liangs@pharmacy.ucsf.edu
Kathryn A Phillips
Grace Wang
Carol Keohane
Joanne Armstrong
William M Morris
Jennifer S Haas

Funding

UTILIZATION OF PERSONALIZED MEDICINE USING GENOMICSP01CA130818 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI PHILLIPS, KATHRYN A · 2008 to 2010
$5.1M
NCI NIH HHS P01 CA130818NCI NIH HHS P01CA130818-01A1
6 · The paper itself

Abstract

backgroundAdministrative claims and medical records are important data sources to examine healthcare utilization and outcomes. Little is known about identifying personalized medicine technologies in these sources.

objectivesTo describe agreement, sensitivity, and specificity of administrative claims compared with medical records for 2 pairs of targeted tests and treatments for breast cancer. RESEARCH

designRetrospective analysis of medical records linked to administrative claims from a large health plan. We examined whether agreement varied by factors that facilitate tracking in claims (coding and cost) and that enhance medical record completeness (records from multiple providers). SUBJECTS: Women (35 to 65 y of age) with incident breast cancer diagnosed in 2006 to 2007 (n=775). MEASURES: Use of human epidermal growth factor receptor 2 (HER2) and gene expression profiling (GEP) testing, trastuzumab, and adjuvant chemotherapy in claims and medical records.

resultsAgreement between claims and records was substantial for GEP, trastuzumab, and chemotherapy, and lowest for HER2 tests. GEP, an expensive test with unique billing codes, had higher agreement (91.6% vs. 75.2%), sensitivity (94.9% vs. 76.7%), and specificity (90.1% vs. 29.2%) than HER2, a test without unique billing codes. Trastuzumab, a treatment with unique billing codes, had slightly higher agreement (95.1% vs. 90%) and sensitivity (98.1% vs. 87.9%) than adjuvant chemotherapy.

conclusionsHigher agreement and specificity were associated with services that had unique billing codes and high cost. Administrative claims may be sufficient for examining services with unique billing codes. Medical records provide better data for identifying tests lacking specific codes and for research requiring detailed clinical information.

Indexed as

AdultAgedBreast NeoplasmsClinical CodingFemaleHealth Care CostsHumansInsurance Claim ReportingMedical Record LinkageMiddle AgedPrecision Medicine

Identifiers

PMID21422962
PMCPMC3383782

What OpenQuestion holds

Textmetadata
LicenceTDM
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.