Evidence map›Paper›PMID 24766856›Full record

ArticleJournal of pediatric urology2014

Estimating utility values for vesicoureteral reflux in the general public using an online tool.

Jessica C Lloyd, Talitha Yen, Ricardo Pietrobon, John S Wiener, Sherry S Ross, Paul J Kokorowski, Caleb P Nelson, Jonathan C Routh

Open access · greenAbstract read
In one paragraph

Article in Journal of pediatric urology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
3.5field-weighted citation impact, top 8% 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 20 citations in OpenAlex.

  1. Mapping of Crowdsourcing in Health: Systematic Review.Journal of medical Internet research · 2018
    Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Crowdsourcing utility estimation for spina bifida in the general population.Journal of pediatric rehabilitation medicine · 2017
    Article
  9. Article
  10. 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

8 authors at 4 institutions in 1 country.

Jessica C LloydDivision of Urologic Surgery, Duke University Medical Center, DUMC 3831, Durham, NC 27710, USA.
Talitha YenResearch on Research Group, Department of Surgery, Duke University Medical Center, Durham, NC, USA.
Ricardo PietrobonResearch on Research Group, Department of Surgery, Duke University Medical Center, Durham, NC, USA.
John S WienerDivision of Urologic Surgery, Duke University Medical Center, DUMC 3831, Durham, NC 27710, USA.
Sherry S RossDivision of Urologic Surgery, Duke University Medical Center, DUMC 3831, Durham, NC 27710, USA.
Paul J KokorowskiDepartment of Urology, Children's Hospital Los Angeles, Los Angeles, CA, USA.
Caleb P NelsonDepartment of Urology, Children's Hospital of Boston, Boston, MA, USA.
Jonathan C RouthDivision of Urologic Surgery, Duke University Medical Center, DUMC 3831, Durham, NC 27710, USA. Electronic address: jonathan.routh@duke.edu.
Duke Medical Center · USBoston Children's Hospital · USChildren's Hospital of Los Angeles · USDuke University Hospital · US

Funding

Duke KURe ProgramK12DK100024 · NIDDK · DUKE UNIVERSITY · PI Cindy Amundsen · 2013 to 2026
$8.4M
Clinical Outcomes for Siblings of Children with Vesico-Ureteral RefluxK23DK088943 · NIDDK · BOSTON CHILDREN'S HOSPITAL · PI NELSON, CALEB PENNELL · 2010 to 2014
$892k
Comparative Effectiveness of Vesicoureteral Reflux Treatments in ChildrenK08DK100534 · NIDDK · DUKE UNIVERSITY · PI ROUTH, JONATHAN C · 2014 to 2018
$671k
NIDDK NIH HHS K08 DK100534NIDDK NIH HHS K12 DK100024NIDDK NIH HHS K12-DK100024NIDDK NIH HHS K23 DK088943NIDDK NIH HHS K23-DK088943NIDDK NIH HHS L40 DK084781
6 · The paper itself

Abstract

introductionCost-utility analyses are useful to study conditions without a widely accepted treatment algorithm; in pediatric urology, one such condition is vesicoureteral reflux (VUR). A necessary component of cost-utility analyses is to accurately calculate the "utility", a numerical surrogate of quality of life, for various health states. Our aims were to determine utility values for representative VUR health states and to verify the feasibility of a novel online platform for utility elicitation in order to reduce the time and expense of such analyses.

methodsA cross-sectional survey of American adults was conducted using the time-trade-off (TTO) method. Respondents were recruited from an online work interface, Amazon's Mechanical Turk (MTurk). Four annualized VUR health states were assessed: VUR treated with/without continuous antibiotic prophylaxis (CAP) and with/without associated febrile urinary tract infection (UTI). A 6-week post-operative scenario following open ureteroneocystostomy was also assessed.

resultsWe received 278 survey responses (70% response rate). The respondents were largely between the ages of 25 and 44 (59%), female (60%), and Caucasian (76%). Thirty-seven percent had a college degree, and 44% were parents. Compared with a perfect health state of 1.0, we found mean utilities of 0.87 for VUR, regardless of whether CAP was used or whether UTI was present (p=0.9). The immediate post-operative period following ureteroneocystostomy garnered an annualized utility of 0.94.

conclusionsOur data suggest that MTurk-based utility assessment is feasible, and that subjects view the VUR health state as only slightly inferior to perfect health. This includes VUR health states incorporating CAP and febrile UTI.

Indexed as

Cost of IllnessHealth StatusInternetAdultCost-Benefit AnalysisCross-Sectional StudiesFemaleHumansMalePublic HealthUnited StatesVesico-Ureteral RefluxPediatricUrologyUtility theoryVesicoureteral reflux

Identifiers

PMID24766856
PMCPMC4185270
OpenAlexW2066013455

What OpenQuestion holds

Textmetadata
LicenceTDM
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.