Evidence map›Paper›PMID 22511017›Full record

ArticleJournal of the American Medical Informatics Association : JAMIA

Genetic testing behavior and reporting patterns in electronic medical records for physicians trained in a primary care specialty or subspecialty.

Jeremiah Geronimo Ronquillo, Cheng Li, William T Lester

Open access · bronzeAbstract read
In one paragraph

Article in Journal of the American Medical Informatics Association : JAMIA. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
0.8field-weighted citation impact, top 25% of its field
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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.

  1. Delivering genomic medicine in the United Kingdom National Health Service: a systematic review and narrative synthesis.Genetics in medicine : official journal of the American College of Medical Genetics · 2019
    Pooled it
  2. Observational
  3. Article
  4. Article
  5. Article
  6. Article
  7. Supporting interoperability of genetic data with LOINC.Journal of the American Medical Informatics Association : JAMIA · 2015
    Article
  8. Review
  9. How the electronic health record will change the future of health care.The Yale journal of biology and medicine · 2012
    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

3 authors at 2 institutions in 1 country.

Jeremiah Geronimo RonquilloLaboratory of Computer Science, Massachusetts General Hospital, Boston, Massachusetts 02114, USA. jronquillo@partners.org
Cheng Li
William T Lester
Harvard University · USMassachusetts General Hospital · US

Funding

RESEARCH TRAINING-MEDICAL INFORMATICS 90T15LM007092 · NLM · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI Nils Gehlenborg · 1992 to 2026
$32.8M
NLM NIH HHS T15 LM007092NLM NIH HHS T15LM007092
6 · The paper itself

Abstract

objectiveTo characterize important patterns of genetic testing behavior and reporting in modern electronic medical records (EMRs) at the institutional level. MATERIALS AND

methodsRetrospective observational study using EMR data of all 10,715 patients who received genetic testing by physicians trained in a primary care specialty or subspecialty at an academic medical center between January 1, 2008 and December 31, 2010.

resultsPatients had a mean±SD age of 38.3±15.8 years (median 36.1, IQR 30.0-43.8). The proportion of female subjects in the study population was larger than in the general patient population (77.2% vs 55.0%, p<0.001) and they were younger than the male subjects in the study (36.5±13.2 vs 44.6±21.2 years, p<0.001). Approximately 1.1% of all patients received genetic testing. There were 942 physicians who ordered a total of 15,320 genetic tests. By volume, commonly tested genes involved mutations for cystic fibrosis (36.7%), prothrombin (13.7%), Tay-Sachs disease (6.7%), hereditary hemochromatosis (4.4%), and chronic myelogenous leukemia (4.1%). EMRs stored reports as free text with categorical descriptions of mutations and an average length of 269.4±153.2 words (median 242, IQR 146-401).

conclusionsIn this study, genetic tests were often ordered by a diverse group of physicians for women of childbearing age being evaluated for diseases that may affect potential offspring. EMRs currently serve primarily as a storage warehouse for textual reports that could potentially be transformed into meaningful structured data for next-generation clinical decision support. Further studies are needed to address the design, development, and implementation of EMRs capable of managing the critical genetic health information challenges of the future.

Indexed as

Electronic Health RecordsGenetic TestingPractice Patterns, Physicians'AdultData CollectionFemaleHumansMaleMassachusettsPrimary Health CareRetrospective Studies

Identifiers

PMID22511017
PMCPMC3384119
OpenAlexW257241545

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.