Evidence map›Paper›PMID 26958215›Full record

ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2015

Representation of Functional Status Concepts from Clinical Documents and Social Media Sources by Standard Terminologies.

Jinqiu Kuang, April F Mohanty, V H Rashmi, Charlene R Weir, Bruce E Bray, Qing Zeng-Treitler

Abstract read
In one paragraph

Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Development of a cardiac-centered frailty ontology.Journal of biomedical semantics · 2019
    Article
  7. Characterizing Functional Health Status of Surgical Patients in Clinical Notes.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2018
    Article
  8. 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

6 authors.

Jinqiu KuangBiomedical Informatics, School of Medicine, University of Utah, Salt Lake City, UT, USA.
April F MohantyInformatics Decision-Enhancement and Analytic Sciences (IDEAS) Center, George E. Wahlen Department of Veterans Affairs Medical Center, Salt Lake City, UT, USA.
V H RashmiBiomedical Informatics, School of Medicine, University of Utah, Salt Lake City, UT, USA.
Charlene R WeirBiomedical Informatics, School of Medicine, University of Utah, Salt Lake City, UT, USA; Informatics Decision-Enhancement and Analytic Sciences (IDEAS) Center, George E. Wahlen Department of Veterans Affairs Medical Center, Salt Lake City, UT, USA.
Bruce E BrayBiomedical Informatics, School of Medicine, University of Utah, Salt Lake City, UT, USA.
Qing Zeng-TreitlerBiomedical Informatics, School of Medicine, University of Utah, Salt Lake City, UT, USA; Informatics Decision-Enhancement and Analytic Sciences (IDEAS) Center, George E. Wahlen Department of Veterans Affairs Medical Center, Salt Lake City, UT, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Patient-reported functional status is widely recognized as an important patient-centered outcome that adds value to medical care, research, and quality improvement. Functional status outcomes are, however, not routinely or uniformly collected in the medical record, except in certain small patient populations (e.g. geriatrics, nursing home residents). To utilize patient reported functional status for clinical research and practice, we manually collected 2,763 terms from clinical records and social media sites and modeled them on the widely used Short Form-36 Health Survey. We then examined the coverage of the Unified Medical Language System (UMLS) for these functional status terms through automated mapping. Most terms (85.9%) did not have exact matches in the UMLS. The partial matches were prevalent, however, they typically did not capture the terms' exact semantics. Our study suggests that there is a need to extend existing standard terminologies to incorporate functional status terms used by patients and clinicians.

Indexed as

Electronic Health RecordsPatient Outcome AssessmentSocial MediaUnified Medical Language SystemCardiovascular DiseasesHealth StatusHumansSemanticsVocabulary, Controlled

Identifiers

PMID26958215
PMCPMC4765559

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.