Evidence map›Paper›PMID 30652570›Full record

ArticleJCO clinical cancer informatics2018

Comparison of Physician-Documented Versus Patient-Reported Collection of Comorbidities Among Patients With Prostate Cancer Upon First Visit to the Urology Clinic.

Katherine Fleshner, Amy Tin, Nicole Benfante, Sigrid Carlsson, Andrew J Vickers

Abstract readComparative Study
In one paragraph

Article in JCO clinical cancer informatics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. 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

5 authors.

Katherine FleshnerKatherine Fleshner, University of Western Ontario, London, Ontario, Canada; Amy Tin, Nicole Benfante, Sigrid V. Carlsson, and Andrew J. Vickers, Memorial Sloan Kettering Cancer Center, New York, NY; and Sigrid V. Carlsson, Gothenburg University, Gothenburg, Sweden.
Amy TinKatherine Fleshner, University of Western Ontario, London, Ontario, Canada; Amy Tin, Nicole Benfante, Sigrid V. Carlsson, and Andrew J. Vickers, Memorial Sloan Kettering Cancer Center, New York, NY; and Sigrid V. Carlsson, Gothenburg University, Gothenburg, Sweden.
Nicole BenfanteKatherine Fleshner, University of Western Ontario, London, Ontario, Canada; Amy Tin, Nicole Benfante, Sigrid V. Carlsson, and Andrew J. Vickers, Memorial Sloan Kettering Cancer Center, New York, NY; and Sigrid V. Carlsson, Gothenburg University, Gothenburg, Sweden.
Sigrid CarlssonKatherine Fleshner, University of Western Ontario, London, Ontario, Canada; Amy Tin, Nicole Benfante, Sigrid V. Carlsson, and Andrew J. Vickers, Memorial Sloan Kettering Cancer Center, New York, NY; and Sigrid V. Carlsson, Gothenburg University, Gothenburg, Sweden.
Andrew J VickersKatherine Fleshner, University of Western Ontario, London, Ontario, Canada; Amy Tin, Nicole Benfante, Sigrid V. Carlsson, and Andrew J. Vickers, Memorial Sloan Kettering Cancer Center, New York, NY; and Sigrid V. Carlsson, Gothenburg University, Gothenburg, Sweden.

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Nicholas D Socci · 1985 to 2026
$347.4M
SPORE In Prostate CancerP50CA092629 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Yu Chen, MICHAEL J MORRIS · 2001 to 2026
$63.0M
Modeling to Improve Prostate Cancer Outcomes Across Diverse PopulationsU01CA199338 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI DE KONING, HARRY J, ETZIONI, RUTH D · 2015 to 2019
$5.2M
NCI NIH HHS P30 CA008748NCI NIH HHS P50 CA092629NCI NIH HHS U01 CA199338
6 · The paper itself

Abstract

purposeTo determine whether patient-reported collection of comorbidities online is sufficiently accurate to warrant use as part of a physician-reviewed, baseline medical history.

methodsComorbidities were collected for a sample of 213 new prostate cancer visits to our urology clinic through an online survey (called Baseline Medical History) before the clinical encounter. The frequency distributions of comorbidities as reported by patients before physician review were compared with those documented by physicians for a sample of 298 consecutive patients presenting to the same urology clinic before the survey went live.

resultsThe overall frequency distribution of comorbidities and life expectancy estimates were similar between the two groups. A few comorbidity categories were reported with higher frequency in the patient-reported group compared with the physician-documented group, including neurologic comorbidities (7.5% v 1.7%; difference 6%; 95% CI, 2.0% to 10%; P = .001) and back pain (24% v 13%; difference 12%; 95% CI, 4.8% to 19%; P = .001). A similar trend was seen for vascular conditions, although the difference did not meet conventional levels of statistical significance. Genitourinary comorbidities, including problems with urination and erectile dysfunction, were better captured by the physician-reported group compared with the patient-reported group (68% v 53%; difference 15%; 95% CI, 7% to 24%; P = .001), as were other musculoskeletal comorbidities (8.7% v 1.9%; difference 7%; 95% CI, 3.2% to 11%; P = .001).

conclusionPatients completing a medical history, at their own pace and in the comfort of their own home, provide relatively accurate and complete information, even before physician review. Patient reporting of comorbidities thus seems to be a reliable starting point for the documentation of the medical history in the clinic.

Indexed as

Patient Reported Outcome MeasuresAgedBack PainComorbidityDocumentationFollow-Up StudiesHumansIncidenceMaleMedical History TakingMiddle AgedPhysiciansPrognosisProstatic NeoplasmsSurveys and Questionnaires

Identifiers

PMID30652570
PMCPMC6503836

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.