Evidence map›Paper›PMID 31509068›Full record

ArticleOmics : a journal of integrative biology2019

Cost-Effectiveness Analysis of a Procalcitonin-Guided Decision Algorithm for Antibiotic Stewardship Using Real-World U.S. Hospital Data.

Anne M Voermans, Janne C Mewes, Michael R Broyles, Lotte M G Steuten

Open access · hybridAbstract read
In one paragraph

Article in Omics : a journal of integrative biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 4 pooled it
3.7field-weighted citation impact, top 7% 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

31 citing papers in PubMed, 4 syntheses or guidelines pooled it, 71 citations in OpenAlex.

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  19. Guidelines for the Use of Procalcitonin for Rational Use of Antibiotics.Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine · 2022
    Article
  20. Artificial Intelligence in Biological Sciences.Life (Basel, Switzerland) · 2022
    Review
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

4 authors at 2 institutions in 2 countries.

Anne M VoermansPanaxea B.V., Amsterdam, the Netherlands.
Janne C MewesPanaxea B.V., Amsterdam, the Netherlands.
Michael R BroylesDepartment of Clinical Pharmacy and Laboratory Services, Pocahontas, Five Rivers Medical Center, Arkansas.
Lotte M G SteutenOffice of Health Economics, London, United Kingdom.
Black River Technical College · USOffice Of Health Economics · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Medical decision-making is revolutionizing with the introduction of artificial intelligence and machine learning. Yet, traditional algorithms using biomarkers to optimize drug treatment continue to be important and necessary. In this context, early diagnosis and rational antimicrobial therapy of sepsis and lower respiratory tract infections (LRTI) are vital to prevent morbidity and mortality. In this study we report an original cost-effectiveness analysis (CEA) of using a procalcitonin (PCT)-based decision algorithm to guide antibiotic prescription for hospitalized sepsis and LRTI patients versus standard care. We conducted a CEA using a decision-tree model before and after the implementation of PCT-guided antibiotic stewardship (ABS) using real-world U.S. hospital-specific data. The CEA included societal and hospital perspectives with the time horizon covering the length of hospital stay. The main outcomes were average total costs per patient, and numbers of patients with

Indexed as

AlgorithmsAnti-Bacterial AgentsAntimicrobial StewardshipProcalcitoninCost-Benefit AnalysisDecision TreesHumansSepsisUnited StatesAnti-Bacterial AgentsProcalcitoninalgorithmsantibiotic stewardshipbiomarkerscost-effectivenesshealth economicsprocalcitoninsepsis

Identifiers

PMID31509068
PMCPMC6806362
OpenAlexW2973078197

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.