Evidence map›Paper›PMID 27568580›Full record

ArticleChest2017

Effect of Procalcitonin Testing on Health-care Utilization and Costs in Critically Ill Patients in the United States.

Robert A Balk, Sameer S Kadri, Zhun Cao, Scott B Robinson, Craig Lipkin, Samuel A Bozzette

Open access · bronzeAbstract read
In one paragraph

Article in Chest, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 2 pooled it
9.1field-weighted citation impact, top 2% 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

23 citing papers in PubMed, 2 syntheses or guidelines pooled it, 69 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Review
  5. When to Stop Antibiotics in the Critically Ill?Antibiotics (Basel, Switzerland) · 2024
    Review
  6. Article
  7. Review
  8. Article
  9. Article
  10. Observational
  11. Article
  12. Disseminated Invasive Candidiasis in an Immunocompetent Host.Federal practitioner : for the health care professionals of the VA, DoD, and PHS · 2019
    Article
  13. Article
  14. Article
  15. Observational
  16. Observational
  17. Article
  18. Reply to Schuetz and Wahl.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2017
    Article
  19. Article
  20. Response.Chest · 2017
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 4 institutions in 1 country.

Robert A BalkDivision of Pulmonary and Critical Care Medicine, Rush Medical College and Rush University Medical Center, Chicago, IL. Electronic address: rbalk@rush.edu.
Sameer S KadriCritical Care Medicine Department, National Institutes of Health Clinical Center, Bethesda, MD.
Zhun CaoPremier Research Services, Inc, Charlotte, NC.
Scott B RobinsonPremier Research Services, Inc, Charlotte, NC.
Craig LipkinPremier Research Services, Inc, Charlotte, NC.
Samuel A BozzetteMedical Affairs-Americas/East Asia and Global Health Economics and Outcomes, bioMérieux USA, Durham, NC; Medicine and International Relations, University of California San Diego, San Diego, CA; Health Policy and Management, University of North Carolina, Raleigh, NC.
Premier Research Group · USNational Institutes of Health Clinical Center · USRush University Medical Center · USUniversity of California, San Diego · US

Funding

Big Data - Epidemiology of Critical Illness and SepsisZIACL090045 · CLC · CLINICAL CENTER · PI KADRI, SAMEER · 2017 to 2025
$0k
6 · The paper itself

Abstract

backgroundThere is a growing use of procalcitonin (PCT) to facilitate the diagnosis and management of severe sepsis. We investigated the impact of one to two PCT determinations on ICU day 1 on health-care utilization and cost in a large research database.

methodsA retrospective, propensity score-matched multivariable analysis was performed on the Premier Healthcare Database for patients admitted to the ICU with one to two PCT evaluations on day 1 of ICU admission vs patients who did not have PCT testing.

resultsA total of 33,569 PCT-managed patients were compared with 98,543 propensity score-matched non-PCT patients. In multivariable regression analysis, PCT utilization was associated with significantly decreased total length of stay (11.6 days [95% CI, 11.4 to 11.7] vs 12.7 days [95% CI, 12.6 to 12.8]; 95% CI for difference, 1 to 1.3; P < .001) and ICU length of stay (5.1 days [95% CI, 5.1 to 5.2] vs 5.3 days [95% CI, 5.3 to 5.4]; 95% CI for difference, 0.1 to 0.3; P < .03), and lower hospital costs ($30,454 [95% CI, 29,968 to 31,033] vs $33,213 [95% CI, 32,964 to 33,556); 95% CI for difference, 2,159 to 3,321; P < .001). There was significantly less total antibiotic exposure (16.2 days [95% CI, 16.1 to 16.5] vs 16.9 days [95% CI, 16.8 to 17.1]; 95% CI for difference, -0.9 to 0.4; P = .006) in PCT-managed patients. Patients in the PCT group were more likely to be discharged to home (44.1% [95% CI, 43.7 to 44.6] vs 41.3% [95% CI, 41 to 41.6]; 95% CI for difference, 2.3 to 3.3; P = .006). Mortality was not different in an analysis including the 96% of patients who had an independent measure of mortality risk available (19.1% [95% CI, 18.7 to 19.4] vs 19.1% [95% CI, 18.9 to 19.3]; 95% CI for difference, -0.5 to 0.4; P = .93).

conclusionsUse of PCT testing on the first day of ICU admission was associated with significantly lower hospital and ICU lengths of stay, as well as decreased total, ICU, and pharmacy cost of care. Further elucidation of clinical outcomes requires additional data.

Indexed as

Clinical Chemistry TestsCritical IllnessSepsisAgedBone Density Conservation AgentsCalcitoninCost-Benefit AnalysisDemographyFemaleHumansIntensive Care UnitsLength of StayMaleMiddle AgedPropensity ScoreRetrospective StudiesBone Density Conservation AgentsCalcitoninantibiotic usecost of careintensive care unitprocalcitoninsepsis

Identifiers

PMID27568580
PMCPMC6026224
OpenAlexW2517668586

What OpenQuestion holds

Textmetadata
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.