Evidence map›Paper›PMID 42564721›Full record

ReviewCureus2026

Procalcitonin-Guided Strategies for Reducing Antibiotic Use in CAP, HAP, VAP, and COPD: Insights From a Systematic Review and Meta-Analysis.

Vivek Nangia, Raja Dhar

Abstract readReview
In one paragraph

Review in Cureus, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Vivek NangiaPulmonology, Institute of Respiratory, Critical Care and Sleep Medicine, Max Hospital, New Delhi, IND.
Raja DharPulmonology, C K Birla Group of Hospitals, Kolkata, IND.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Procalcitonin (PCT)-guided therapy may optimize antibiotic use in respiratory infections and chronic lung diseases. This systematic review aimed to assess the role of PCT-guided protocols in reducing antibiotic duration, length of hospital and ICU stay, and clinical outcomes in patients with community-acquired pneumonia (CAP), hospital-acquired pneumonia (HAP), ventilator-associated pneumonia (VAP), and chronic obstructive pulmonary disease (COPD). A secondary literature search was conducted using the databases PubMed and Google Scholar to identify the relevant studies published between January 2003 and December 2023. Eligible studies included peer-reviewed original research (clinical trials, observational, cohort, and case-control studies) evaluating PCT in CAP, VAP, HAP, or COPD, including viral and/or bacterial lower respiratory tract infections (LRTIs) in humans. The excluded studies were animal studies, studies not involving LRTIs, PCT studies lacking extractable data, and non-peer-reviewed editorials, opinions, and conference abstracts. Inconsistency across studies was assessed by heterogeneity analyses and publication bias using funnel plots. Twenty-four studies involving 16,134 patients were included. Across all conditions, PCT-guided therapy reduced antibiotic duration, particularly in CAP, without increasing mortality. Studies included in the CAP group reported that patients in the PCT group benefited from a shorter duration of therapy, with the treatment period decreasing from an average of 13.3±6.5 days in the control group to 11.7±6.2 days in the PCT group. Similarly, the PCT group had significantly reduced ICU stays. For COPD, hospital stay was significantly reduced, though fewer studies demonstrated ICU benefits. PCT-guided protocols may effectively help in better treatment strategies for CAP and COPD management.

Indexed as

antibiotic managementcapclinical outcomescopdhapicu stayprocalcitoninrespiratory infectionsvap

Identifiers

PMID42564721
PMCPMC13445946

What OpenQuestion holds

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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.