Evidence map›Paper›PMID 31940319›Full record

ArticlePloS one2020

Exploratory analysis of the potential for advanced diagnostic testing to reduce healthcare expenditures of patients hospitalized with meningitis or encephalitis.

Brent D Fulton, David G Proudman, Hannah A Sample, Jeffrey M Gelfand, Charles Y Chiu, Joseph L DeRisi, Michael R Wilson

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.7field-weighted citation impact, top 18% 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

8 citing papers in PubMed, 15 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Which trial do we need? Plasma metagenomic next-generation sequencing to diagnose infections in patients with haematological malignancies and febrile neutropenia: proposal for a randomized-controlled trial.Clinical microbiology and infection : the official publication of the European Society of Clinical Microbiology and Infectious Diseases · 2023
    Article
  5. Article
  6. Direct economic burden of patients with autoimmune encephalitis in western China.Neurology(R) neuroimmunology & neuroinflammation · 2020
    Article
  7. Review
  8. 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

7 authors at 2 institutions in 1 country.

Brent D FultonSchool of Public Health, University of California, Berkeley, Berkeley, California, United States of America.ORCID 0000-0002-8305-4711
David G ProudmanSchool of Public Health, University of California, Berkeley, Berkeley, California, United States of America.
Hannah A SampleDepartment of Biochemistry and Biophysics, University of California, San Francisco, San Francisco, California, United States of America.
Jeffrey M GelfandDepartment of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, California, United States of America.
Charles Y ChiuDepartment of Laboratory Medicine, University of California, San Francisco, San Francisco, California, United States of America.
Joseph L DeRisiDepartment of Biochemistry and Biophysics, University of California, San Francisco, San Francisco, California, United States of America.
Michael R WilsonDepartment of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, California, United States of America.
University of California, San Francisco · USUniversity of California, Berkeley · US

Funding

Next-Generation Diagnostics for Acute EncephalitisK08NS096117 · NINDS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI WILSON, MICHAEL R · 2017 to 2021
$999k
NINDS NIH HHS K08 NS096117
6 · The paper itself

Abstract

objectiveTo estimate healthcare expenditures that could be impacted by advanced diagnostic testing for patients hospitalized with meningitis or encephalitis.

methodsPatients hospitalized with meningitis (N = 23,933) or encephalitis (N = 7,858) in the U.S. were identified in the 2010-2014 Truven Health MarketScan Commercial Claims and Encounters Database using ICD-9-CM diagnostic codes. The database included an average of 40.8 million commercially insured enrollees under age 65 per year. Clinical, demographic and healthcare utilization criteria were used to identify patient subgroups early in their episode who were at risk to have high inpatient expenditures. Healthcare expenditures of patients within each subgroup were bifurcated: those expenditures that remained five days after the patient could be classified into the subgroup versus those that had occurred previously.

resultsThe hospitalization episode rate per 100,000 enrollee-years for meningitis was 13.0 (95% CI: 12.9-13.2) and for encephalitis was 4.3 (95% CI: 4.2-4.4), with mean inpatient expenditures of $36,891 (SD = $92,636) and $60,181 (SD = $130,276), respectively. If advanced diagnostic testing had been administered on the day that a patient could be classified into a subgroup, then a test with a five-day turnaround time could impact the following mean inpatient expenditures that remained by subgroup for patients with meningitis or encephalitis, respectively: had a neurosurgical procedure ($83,337 and $56,020), had an ICU stay ($34,221 and $46,051), had HIV-1 infection or a previous organ transplant ($37,702 and $62,222), were age <1 year ($35,371 and $52,812), or had a hospital length of stay >2 days ($18,325 and $30,244). DISCUSSION: Inpatient expenditures for patients hospitalized with meningitis or encephalitis were substantial and varied widely. Patient subgroups who had high healthcare expenditures could be identified early in their stay, raising the potential for advanced diagnostic testing to lower these expenditures.

Indexed as

HospitalizationAdultChildChild, PreschoolEncephalitisFemaleHealth ExpendituresHumansInfantInfant, NewbornInsurance, HealthMaleMeningitisMiddle AgedRetrospective StudiesYoung Adult

Identifiers

PMID31940319
PMCPMC6961903
OpenAlexW3000478617

What OpenQuestion holds

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LicenceCC BY
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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.