Evidence map›Paper›PMID 29888096›Full record

ArticleAMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science2018

Characterizing Functional Health Status of Surgical Patients in Clinical Notes.

Steven J Skube, Elizabeth A Lindemann, Elliot G Arsoniadis, Mari Akre, Elizabeth C Wick, Genevieve B Melton

Abstract read
In one paragraph

Article in AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

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  12. HARE: a Flexible Highlighting Annotator for Ranking and Exploration.Proceedings of the Conference on Empirical Methods in Natural Language Processing. Conference on Empirical Methods in Natural Language Processing · 2019
    Article
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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.

Steven J SkubeUniversity of Minnesota Department of Surgery, Minneapolis, MN.
Elizabeth A LindemannUniversity of Minnesota Institute for Health Informatics, Minneapolis, MN.
Elliot G ArsoniadisUniversity of Minnesota Department of Surgery, Minneapolis, MN.
Mari AkreUniversity of Minnesota Physicians, Minneapolis, MN.
Elizabeth C WickUniversity of California San Francisco, San Francisco, CA.
Genevieve B MeltonUniversity of Minnesota Department of Surgery, Minneapolis, MN.

Funding

University of Minnesota Clinical and Translational Science Institute (UMN CTSI)UL1TR000114 · NCATS · UNIVERSITY OF MINNESOTA · PI BLAZAR, BRUCE R · 2012 to 2015
$35.0M
Innovative Methods for Real-time Risk Modeling of Postoperative ComplicationsR01GM120079 · NIGMS · UNIVERSITY OF MINNESOTA · PI SIMON, GYORGY · 2017 to 2020
$2.1M
Leveraging Advanced Informatics to Automate Data Collection of Healthcare Associated Infections (HAI) and Other Surgical Performance MeasuresR01HS024532 · AHRQ · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI WICK, ELIZABETH C · 2016 to 2019
$1.9M
AHRQ HHS R01 HS024532NCATS NIH HHS UL1 TR000114NIGMS NIH HHS R01 GM120079
6 · The paper itself

Abstract

Functional health status is an important factor not only for determining overall health, but also for measuring risks of adverse events. Our hypothesis is that important functional status data is contained in clinical notes. We found that several categories of phrases related to functional status including diagnoses, activity and care assessments, physical exam, functional scores, assistive equipment, symptoms, and surgical history were important factors. Use of functional health status level terms from our chart review compared to National Surgical Quality Improvement Program determination had varying sensitivities for correct functional status category identification, with 96% for independent patients, 60% for partially dependent patients, and 44% for totally dependent patients. Inter-rater agreement assessing term relevance to functional health status was high at 91% (Kappa=0.74). Functional status-related terms in clinical notes show potential for use in future methodologies for automated detection of functional health status for quality improvement registries and other clinical assessments.

Identifiers

PMID29888096
PMCPMC5961772

What OpenQuestion holds

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Registered trials

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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.