Evidence map›Paper›PMID 28693554›Full record

ArticleBMC urology2017

Patient driven care in the management of prostate cancer: analysis of the United States military healthcare system.

Muhammad Ali Chaudhary, Jeffrey J Leow, Matthew Mossanen, Ritam Chowdhury, Wei Jiang, Peter A Learn, Joel S Weissman, Steven L Chang

Open access · goldAbstract read
In one paragraph

Article in BMC urology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
2.0field-weighted citation impact, top 13% 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

4 citing papers in PubMed, 20 citations in OpenAlex.

  1. Article
  2. Education in Robotic Hernia Surgery-Current Situation.Journal of abdominal wall surgery : JAWS · 2023
    Article
  3. Article
  4. 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

8 authors at 3 institutions in 1 country.

Muhammad Ali ChaudharyCenter for Surgery and Public Health, Department of Surgery, Brigham and Women's Hospital, Harvard Medical School, Harvard T H Chan School of Public Health, Boston, MA, USA. mchaudhary@bwh.harvard.edu.
Jeffrey J LeowCenter for Surgery and Public Health, Department of Surgery, Brigham and Women's Hospital, Harvard Medical School, Harvard T H Chan School of Public Health, Boston, MA, USA.
Matthew MossanenDivision of Urology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
Ritam ChowdhuryCenter for Surgery and Public Health, Department of Surgery, Brigham and Women's Hospital, Harvard Medical School, Harvard T H Chan School of Public Health, Boston, MA, USA.
Wei JiangCenter for Surgery and Public Health, Department of Surgery, Brigham and Women's Hospital, Harvard Medical School, Harvard T H Chan School of Public Health, Boston, MA, USA.
Peter A LearnDepartment of Surgery, Uniformed Services University of Health Sciences, Bethesda, MD, USA.
Joel S WeissmanCenter for Surgery and Public Health, Department of Surgery, Brigham and Women's Hospital, Harvard Medical School, Harvard T H Chan School of Public Health, Boston, MA, USA.
Steven L ChangDivision of Urology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
Brigham and Women's Hospital · USHarvard University · USUniformed Services University of the Health Sciences · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPatient preferences are assumed to impact healthcare resource utilization, especially treatment options. There is limited data exploring this phenomenon. We sought to identify factors associated with patients transferring care for prostatectomy, from military to civilian facilities, and the receipt of minimally invasive radical prostatectomy (MIRP).

methodsRetrospective review of 2006-2010 TRICARE data identified men diagnosed with prostate cancer (ICD-9 185) receiving open radical prostatectomy (ORP; ICD-9: 60.5) or MIRP (ICD-9 60.5 + 54.21/17.42). Patients diagnosed at military facilities but underwent surgery at civilian facilities were defined as "transferring care". Logistic regression models identified predictors of transferring care for patients diagnosed at military facilities. A secondary analysis identified the predictors of MIRP receipt at civilian facilities.

resultsOf 1420 patients, 247 (17.4%) transferred care. These patients were more likely to undergo MIRP (OR = 7.83, p < 0.01), and get diagnosed at low-volume military facilities (OR = 6.10, p < 0.01). Our secondary analysis demonstrated that transferring care was strongly associated with undergoing MIRP (OR = 1.51, p = 0.04).

conclusionsPatient preferences induced a demand for greater utilization of MIRP and civilian facilities. Further work exploring factors driving these preferences and interventions tailoring them, based on evidence and cost considerations, is required.

Indexed as

Military PersonnelPatient PreferencePatient TransferProstatectomyHumansMaleMiddle AgedMinimally Invasive Surgical ProceduresProstatic NeoplasmsRetrospective StudiesUnited StatesPatient preferenceProstatectomyRobotic surgeryTRICARE

Identifiers

PMID28693554
PMCPMC5504736
OpenAlexW2736077860

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.