Evidence map›Paper›PMID 27043012›Full record

ArticlePloS one2016

Provider Decisions to Treat Respiratory Illnesses with Antibiotics: Insights from a Randomized Controlled Trial.

Angela R Branche, Edward E Walsh, Nagesh Jadhav, Rachel Karmally, Andrea Baran, Derick R Peterson, Ann R Falsey

Abstract read
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Value of syndromic panels in the management of severe community-acquired pneumonia.Revista espanola de quimioterapia : publicacion oficial de la Sociedad Espanola de Quimioterapia · 2022
    Review
  6. Article
  7. Review
  8. Molecular Testing for Acute Respiratory Tract Infections: Clinical and Diagnostic Recommendations From the IDSA's Diagnostics Committee.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2020
    Article
  9. Use of Procalcitonin and a Respiratory Polymerase Chain Reaction Panel to Reduce Antibiotic Use via an Electronic Medical Record Alert.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2020
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. 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

7 authors.

Angela R BrancheDepartment of Medicine, University of Rochester, Rochester, NY, United States of America.
Edward E WalshDepartment of Medicine, University of Rochester, Rochester, NY, United States of America.
Nagesh JadhavDepartment of Medicine, Rochester General Hospital, Rochester, NY, United States of America.
Rachel KarmallyDepartment of Medicine, Rochester General Hospital, Rochester, NY, United States of America.
Andrea BaranDepartment of Biostatistics and Computational Biology, University of Rochester, Rochester, NY, United States of America.
Derick R PetersonDepartment of Biostatistics and Computational Biology, University of Rochester, Rochester, NY, United States of America.
Ann R FalseyDepartment of Medicine, University of Rochester, Rochester, NY, United States of America.

Funding

PHS HHS HHSN27220120005C.
6 · The paper itself

Abstract

rationaleLower respiratory tract illness (LRTI) frequently causes adult hospitalization and antibiotic overuse. Procalcitonin (PCT) treatment algorithms have been used successfully in Europe to safely reduce antibiotic use for LRTI but have not been adopted in the United States. We recently performed a feasibility study for a randomized clinical trial (RCT) of PCT and viral testing to guide therapy for non-pneumonic LRTI.

objectiveThe primary objective of the current study was to understand factors influencing PCT algorithm adherence during the RCT and evaluate factors influencing provider antibiotic prescribing practices for LRTI. STUDY

designFrom October 2013-April 2014, 300 patients hospitalized at a community teaching hospital with non-pneumonic LRTI were randomized to standard or PCT-guided care with viral PCR testing. Algorithm adherence data was collected and multivariate stepwise logistic regression of clinical variables used to model algorithm compliance. 134 providers were surveyed anonymously before and after the trial to assess knowledge of biomarkers and viral testing and antibiotic prescribing practices.

resultsDiagnosis of pneumonia on admission was the only variable significantly associated with non-adherence [7% (adherence) vs. 26% (nonadherence), p = 0.01]. Surveys confirmed possible infiltrate on chest radiograph as important for provider decisions, as were severity of illness, positive sputum culture, abnormal CBC and fever. However, age, patient expectations and medical-legal concerns were also at least somewhat important to prescribing practices. Physician agreement with the importance of viral and PCT testing increased from 42% to 64% (p = 0.007) and 49% to 74% (p = 0.001), respectively, after the study.

conclusionsOptimal algorithm adherence will be important for definitive PCT intervention trials in the US to determine if PCT guided algorithms result in better outcomes than reliance on traditional clinical variables. Factors influencing treatment decisions such as patient age, presence of fever, patient expectations and medical legal concerns may be amenable to education to improve PCT algorithm compliance for LRTI.

Indexed as

Clinical Decision-MakingHealth PersonnelAlgorithmsAnti-Bacterial AgentsCalcitoninCalcitonin Gene-Related PeptideFactor Analysis, StatisticalGuideline AdherenceHealth Care SurveysHumansPerceptionPhysiciansProtein PrecursorsRandomized Controlled Trials as TopicRespiratory Tract InfectionsUnited StatesAnti-Bacterial AgentsCALCA protein, humanCalcitoninCalcitonin Gene-Related PeptideProtein Precursors

Identifiers

PMID27043012
PMCPMC4820114

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Registered trials

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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.