Evidence map›Paper›PMID 36099593›Full record

ArticleJMIR medical informatics2022

Correction: Identifying Patients Who Meet Criteria for Genetic Testing of Hereditary Cancers Based on Structured and Unstructured Family Health History Data in the Electronic Health Record: Natural Language Processing Approach.

Jianlin Shi, Keaton L Morgan, Richard L Bradshaw, Se-Hee Jung, Wendy Kohlmann, Kimberly A Kaphingst, Kensaku Kawamoto, Guilherme Del Fiol

Abstract readPublished Erratum
PubMed Full text at PMC Publisher
In one paragraph

Article in JMIR medical informatics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Jianlin ShiVeterans Affairs Informatics and Computing Infrastructure, Department of Veterans Affairs Salt Lake City Health Care System, Salt Lake City, UT, United States.ORCID https://orcid.org/0000-0003-2950-8038
Keaton L MorganDepartment of Biomedical Informatics, University of Utah, Salt Lake City, UT, United States.ORCID https://orcid.org/0000-0001-9140-4454
Richard L BradshawDepartment of Biomedical Informatics, University of Utah, Salt Lake City, UT, United States.ORCID https://orcid.org/0000-0001-7363-0327
Se-Hee JungDepartment of Biomedical Informatics, University of Utah, Salt Lake City, UT, United States.ORCID https://orcid.org/0000-0001-8149-0993
Wendy KohlmannDepartment of Population Health Sciences, University of Utah, Salt Lake City, UT, United States.ORCID https://orcid.org/0000-0002-9134-9640
Kimberly A KaphingstHuntsman Cancer Institute, University of Utah, Salt Lake City, UT, United States.ORCID https://orcid.org/0000-0003-2668-9080
Kensaku KawamotoDepartment of Biomedical Informatics, University of Utah, Salt Lake City, UT, United States.ORCID https://orcid.org/0000-0003-4282-9338
Guilherme Del FiolDepartment of Biomedical Informatics, University of Utah, Salt Lake City, UT, United States.ORCID https://orcid.org/0000-0001-9954-6799

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

[This corrects the article DOI: 10.2196/37842.].

Identifiers

PMID36099593
PMCPMC9516360

What OpenQuestion holds

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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.