Evidence map›Paper›PMID 27195318›Full record

ArticleInvestigative and clinical urology2016

Electronic nutritional intake assessment in patients with urolithiasis: A decision impact analysis.

Avory M Heningburg, Anand Mohapatra, Aaron M Potretzke, Alyssa Park, Alethea G Paradis, Joel Vetter, Adrienne N Kuxhausen, Leslie D McIntosh, Anthony Juehne, Alana C Desai and 2 more

Open access · diamondAbstract read
In one paragraph

Article in Investigative and clinical urology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 94% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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

12 authors at 3 institutions in 1 country.

Avory M HeningburgMeharry Medical College, Nashville, TN, USA.
Anand MohapatraDivision of Urologic Surgery, Washington University School of Medicine, St. Louis, MO, USA.
Aaron M PotretzkeDivision of Urologic Surgery, Washington University School of Medicine, St. Louis, MO, USA.
Alyssa ParkDivision of Urologic Surgery, Washington University School of Medicine, St. Louis, MO, USA.
Alethea G ParadisDivision of Urologic Surgery, Washington University School of Medicine, St. Louis, MO, USA.
Joel VetterDivision of Urologic Surgery, Washington University School of Medicine, St. Louis, MO, USA.
Adrienne N KuxhausenDivision of Urologic Surgery, Washington University School of Medicine, St. Louis, MO, USA.
Leslie D McIntoshWashington University School of Medicine, Center for Biomedical Informatics, St. Louis, MO, USA.
Anthony JuehneWashington University School of Medicine, Center for Biomedical Informatics, St. Louis, MO, USA.
Alana C DesaiDivision of Urologic Surgery, Washington University School of Medicine, St. Louis, MO, USA.
Gerald L AndrioleDivision of Urologic Surgery, Washington University School of Medicine, St. Louis, MO, USA.
Brian M BenwayUrology Academic Practice, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
Washington University in St. Louis · USCedars-Sinai Medical Center · USMeharry Medical College · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo evaluate a physician's impression of a urinary stone patient's dietary intake and whether it was dependent on the medium through which the nutritional data were obtained. Furthermore, we sought to determine if using an electronic food frequency questionnaire (FFQ) impacted dietary recommendations for these patients. MATERIALS AND

methodsSeventy-six patients attended the Stone Clinic over a period of 6 weeks. Seventy-five gave consent for enrollment in our study. Patients completed an office-based interview with a fellowship-trained endourologist, and a FFQ administered on an iPad. The FFQ assessed intake of various dietary components related to stone development, such as oxalate and calcium. The urologists were blinded to the identity of patients' FFQ results. Based on the office-based interview and the FFQ results, the urologists provided separate assessments of the impact of nutrition and hydration on the patient's stone disease (nutrition impact score and hydration impact score, respectively) and treatment recommendations. Multivariate logistic regressions were used to compare pre-FFQ data to post-FFQ data.

resultsHigher FFQ scores for sodium (odds ratio [OR], 1.02; p=0.02) and fluids (OR, 1.03, p=0.04) were associated with a higher nutritional impact score. None of the FFQ parameters impacted hydration impact score. A higher FFQ score for oxalate (OR, 1.07; p=0.02) was associated with the addition of at least one treatment recommendation.

conclusionsInformation derived from a FFQ can yield a significant impact on a physician's assessment of stone risks and decision for management of stone disease.

Indexed as

Decision Support Systems, ClinicalNutrition AssessmentAgedDietDiet RecordsFemaleHumansInterviews as TopicMaleMiddle AgedSurveys and QuestionnairesUrolithiasisClinical decision support systemsNutrition assessmentSurveys and questionnairesUrolithiasis

Identifiers

PMID27195318
PMCPMC4869568
OpenAlexW2351581581

What OpenQuestion holds

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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.