Evidence map›Paper›PMID 32158720›Full record

ArticleResearch and reports in urology2020

Clinical Documentation to Predict Factors Associated with Urinary Incontinence Following Prostatectomy for Prostate Cancer.

Kevin Li, Imon Banerjee, Christopher J Magnani, Douglas W Blayney, James D Brooks, Tina Hernandez-Boussard

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Research and reports in urology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.

  1. Pooled it
  2. Review
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  5. 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 at 3 institutions in 1 country.

Kevin LiStanford University School of Medicine, Stanford, CA, USA.ORCID 0000-0003-0425-2363
Imon BanerjeeDepartment of Biomedical Informatics, Emory School of Medicine, Atlanta, GA, USA.ORCID 0000-0002-3327-8004
Christopher J MagnaniStanford University School of Medicine, Stanford, CA, USA.ORCID 0000-0001-5757-9832
Douglas W BlayneyDepartment of Medicine (Oncology), Stanford University School of Medicine, Stanford, CA, USA.ORCID 0000-0002-7931-4533
James D BrooksDepartment of Urology (Urologic Oncology), Stanford University School of Medicine, Stanford, CA, USA.ORCID 0000-0003-4521-7505
Tina Hernandez-BoussardDepartment of Medicine (Biomedical Informatics), Biomedical Data Sciences, and Surgery, Stanford University School of Medicine, Stanford, CA, USA.ORCID 0000-0001-6553-3455
Stanford University · USEmory University · USStanford Medicine · US

Funding

Utilizing Electronic Health Records to Measure and Improve Prostate Cancer CareR01CA183962 · NCI · STANFORD UNIVERSITY · PI HERNANDEZ-BOUSSARD, TINA · 2015 to 2019
$3.1M
NCI NIH HHS R01 CA183962
6 · The paper itself

Abstract

backgroundAdvances in data collection provide opportunities to use population samples in identifying risk factors for urinary incontinence (UI), which occurs in up to 71% of men with prostate cancer following prostatectomy. Most studies on patient-centered outcomes use surveys or manual chart abstraction for data collection, which can be costly and difficult to scale. We sought to evaluate rates of and risk factors for UI following prostatectomy using natural language processing on electronic health record (EHR) data.

methodsWe conducted a retrospective analysis of patients undergoing prostatectomy for prostate cancer between January 2008 and August 2018 using EHR data from an academic medical center. UI incidence for each patient in the cohort was assessed using natural language processing from clinical notes generated pre- and postoperatively. Multivariable logistic regression was used to evaluate potential risk factors for postoperative UI at various time points within 2 years following surgery.

resultsWe identified 3792 patients who underwent prostatectomy for prostate cancer. We found a significant association between preoperative UI and UI in the first (odds ratio [OR], 2.30; 95% confidence interval [CI], 1.24-4.28) and second (OR 2.24, 95% CI 1.04-4.83) years following surgery. Preoperative body mass index was also associated with UI in the second postoperative year (OR 1.11, 95% CI 1.02-1.21).

conclusionWe show that a natural language processing approach using clinical narratives can be used to assess risk for UI in prostate cancer patients. Unstructured clinical narrative text can help advance future population-level research in patient-centered outcomes and quality of care.

Indexed as

natural language processingpatient-centered outcomesprostate cancersoft labelsurinary incontinence

Identifiers

PMID32158720
PMCPMC6986242
OpenAlexW3001219411

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.