Evidence map›Paper›PMID 30037743›Full record

ArticleJournal of the American Medical Directors Association2018

The Improving Outcomes of UTI Management in Long-Term Care Project (IOU) Consensus Guidelines for the Diagnosis of Uncomplicated Cystitis in Nursing Home Residents.

David A Nace, Subashan K Perera, Joseph T Hanlon, Stacey Saracco, Gulsum Anderson, Steven J Schweon, Michele Klein-Fedyshin, Charles B Wessel, Mary Mulligan, Paul J Drinka and 1 more

Open access · greenAbstract read
In one paragraph

Article in Journal of the American Medical Directors Association, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
2.6field-weighted citation impact, top 10% 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

15 citing papers in PubMed, 30 citations in OpenAlex.

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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

11 authors at 4 institutions in 1 country.

David A NaceDivision of Geriatric Medicine, University of Pittsburgh, Pittsburgh, PA. Electronic address: naceda@upmc.edu.
Subashan K PereraDivision of Geriatric Medicine, University of Pittsburgh, Pittsburgh, PA; Department of Biostatistics, University of Pittsburgh, Pittsburgh, PA.
Joseph T HanlonDivision of Geriatric Medicine, University of Pittsburgh, Pittsburgh, PA.
Stacey SaraccoDivision of Geriatric Medicine, University of Pittsburgh, Pittsburgh, PA.
Gulsum AndersonDivision of Geriatric Medicine, University of Pittsburgh, Pittsburgh, PA.
Steven J SchweonInfection Prevention Consultant, Saylorsburg, PA.
Michele Klein-FedyshinHealth Sciences Library System, University of Pittsburgh, Pittsburgh, PA.
Charles B WesselHealth Sciences Library System, University of Pittsburgh, Pittsburgh, PA.
Mary MulliganAMDA-The Society of Post-Acute and Long-Term Care Medicine, Columbia, MD.
Paul J DrinkaDivision of Internal Medicine and Geriatrics, University of Wisconsin, Madison, WI.
Christopher J CrnichDivision of Infectious Diseases, University of Wisconsin School of Medicine and Public Health, Madison, WI; William S. Middleton VA Hospital, Madison, WI.
University of Pittsburgh · USThe Society for Post-Acute and Long-Term Care Medicine · USUniversity of Wisconsin–Madison · USWilliam S. Middleton Memorial Veterans Hospital · US

Funding

VARIABILITY, STABILITY & SMOOTHNESS OF WALKINGP30AG024827 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI JENNIFER S BRACH · 2004 to 2026
$28.6M
AHRQ HHS R18 HS023779NIA NIH HHS P30 AG024827
6 · The paper itself

Abstract

objectivesTo identify a set of signs and symptoms most likely to indicate uncomplicated cystitis in noncatheterized nursing home residents ≥65 years of age using consensus-based methods informed by a literature review.

designLiterature review and modified Delphi survey with strict inclusion criteria. SETTING AND

participantsExpert panel of 20 physicians certified in geriatric medicine and/or medical direction, actively practicing in post-acute and long-term care settings.

methodsThe authors performed a literature review to produce a comprehensive list of potential signs and symptoms of presumptive uncomplicated cystitis, including nonspecific "quality control" items deemed unlikely to indicate uncomplicated cystitis. The expert panel rated their agreement for each sign/symptom using a 5-point Likert-type scale (1 = strongly disagree to 5 = strongly agree). Agreed upon signs and symptoms were summarized using a diagnostic algorithm for easy clinical use.

resultsThe literature review identified 16 signs and symptoms that were evaluated in 3 Delphi survey rounds. The response rate was 100% for round 1 and 95% for the second 2 rounds. Consensus agreement for inclusion was achieved for dysuria on round 1 with exclusion of the 3 quality controls, and "offensive smelling urine." Consensus in the second round was reached for including 4 additional items (gross hematuria, suprapubic pain, urinary frequency, and urinary urgency). Round 3 evaluated dysuria alone and combinations of symptoms. Consensus that dysuria alone is sufficient for diagnosis of cystitis was not reached. CONCLUSIONS/IMPLICATIONS: The panel identified 5 signs and symptoms likely indicative of uncomplicated cystitis in nursing home residents and developed a diagnostic algorithm that can be used to promote antibiotic stewardship in nursing homes. Given similarities in populations, the algorithm may also be applicable to the older adult and the broader post-acute/long-term care populations.

Indexed as

Homes for the AgedUrinary Tract InfectionsAgedCystitisDelphi TechniqueFemaleGuidelines as TopicHumansMaleTreatment Outcomecystitisdiagnostic guidelinesnursing facilitiesUrinary tract infectionUTI

Identifiers

PMID30037743
PMCPMC8043108
OpenAlexW2884579639

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.