Evidence map›Paper›PMID 20962132›Full record

ArticleJournal of the American Medical Informatics Association : JAMIA

Using global unique identifiers to link autism collections.

Stephen B Johnson, Glen Whitney, Matthew McAuliffe, Hailong Wang, Evan McCreedy, Leon Rozenblit, Clark C Evans

Abstract 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 40 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed, 1 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

40 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Article
  4. Review
  5. The Brain Gene Registry: a data snapshot.Journal of neurodevelopmental disorders · 2024
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. A hybrid approach to record linkage using a combination of deterministic and probabilistic methodology.Journal of the American Medical Informatics Association : JAMIA · 2020
    Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Federating patients identities: the case of rare diseases.Orphanet journal of rare diseases · 2018
    Article
  17. Review
  18. Article
  19. Article
  20. 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.

Stephen B JohnsonDepartment of Biomedical Informatics, Columbia University, New York, New York 10032, USA. sbj2@columbia.edu
Glen Whitney
Matthew McAuliffe
Hailong Wang
Evan McCreedy
Leon Rozenblit
Clark C Evans

Funding

Scientific Applications Services SectionZIACT000272 · CIT · CENTER FOR INFORMATION TECHNOLOGY · PI MCAULIFFE, MATTHEW · 2009 to 2021
$9.9M
6 · The paper itself

Abstract

objectiveTo propose a centralized method for generating global unique identifiers to link collections of research data and specimens.

designThe work is a collaboration between the Simons Foundation Autism Research Initiative and the National Database for Autism Research. The system is implemented as a web service: an investigator inputs identifying information about a participant into a client application and sends encrypted information to a server application, which returns a generated global unique identifier. The authors evaluated the system using a volume test of one million simulated individuals and a field test on 2000 families (over 8000 individual participants) in an autism study. MEASUREMENTS: Inverse probability of hash codes; rate of false identity of two individuals; rate of false split of single individual; percentage of subjects for which identifying information could be collected; percentage of hash codes generated successfully.

resultsLarge-volume simulation generated no false splits or false identity. Field testing in the Simons Foundation Autism Research Initiative Simplex Collection produced identifiers for 96% of children in the study and 77% of parents. On average, four out of five hash codes per subject were generated perfectly (only one perfect hash is required for subsequent matching). DISCUSSION: The system must achieve balance among the competing goals of distinguishing individuals, collecting accurate information for matching, and protecting confidentiality. Considerable effort is required to obtain approval from institutional review boards, obtain consent from participants, and to achieve compliance from sites during a multicenter study.

conclusionGeneric unique identifiers have the potential to link collections of research data, augment the amount and types of data available for individuals, support detection of overlap between collections, and facilitate replication of research findings.

Indexed as

Autistic DisorderBiomedical ResearchInformation ServicesInformation Storage and RetrievalMedical Record LinkagePatient Identification SystemsChildConfidentialityDatabases, FactualHumansUnited StatesUser-Computer Interface

Identifiers

PMID20962132
PMCPMC3000750

What OpenQuestion holds

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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.