Evidence map›Paper›PMID 30107791›Full record

ArticleBMC infectious diseases2018

C-reactive protein and procalcitonin to discriminate between tuberculosis, Pneumocystis jirovecii pneumonia, and bacterial pneumonia in HIV-infected inpatients meeting WHO criteria for seriously ill: a prospective cohort study.

Fiona Mendelson, Rulan Griesel, Nicki Tiffin, Molebogeng Rangaka, Andrew Boulle, Marc Mendelson, Gary Maartens

Open access · goldAbstract read
In one paragraph

Article in BMC infectious diseases, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 2 pooled it
3.1field-weighted citation impact, top 8% 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

13 citing papers in PubMed, 2 syntheses or guidelines pooled it, 38 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
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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 1 institution in 2 countries.

Fiona MendelsonSchool of Public Health and Family Medicine, University of Cape Town, Cape Town, South Africa.
Rulan GrieselDivision of Clinical Pharmacology, Department of Medicine, University of Cape Town, Cape Town, South Africa.
Nicki TiffinSchool of Public Health and Family Medicine, University of Cape Town, Cape Town, South Africa.
Molebogeng RangakaDepartment of Infection & Population Health, Institute of Global Health, University College London, London, UK.
Andrew BoulleSchool of Public Health and Family Medicine, University of Cape Town, Cape Town, South Africa.
Marc MendelsonDivision of Infectious Diseases and HIV Medicine, Department of Medicine, University of Cape Town, Cape Town, South Africa.
Gary MaartensDivision of Clinical Pharmacology, Department of Medicine, University of Cape Town, Cape Town, South Africa. gary.maartens@uct.ac.za.ORCID 0000-0003-3080-6606
University of Cape Town · ZA

Funding

An evidence based algorithm for diagnosis of tuberculosis in HIV patientsR01AI096735 · NIAID · UNIVERSITY OF CAPE TOWN · PI MAARTENS, GARY, MENDELSON, MARC · 2011 to 2014
$369k
National Institute of Allergy and Infectious Diseases R01 AI 96735-01NIAID NIH HHS R01 AI096735
6 · The paper itself

Abstract

backgroundTuberculosis, bacterial community-acquired pneumonia (CAP), and Pneumocystis jirovecii pneumonia (PJP) are the three commonest causes of hospitalisation in HIV-infected adults. Prompt diagnosis and treatment initiation are important to reduce morbidity and mortality, but are hampered by limited diagnostic resources in resource poor settings. C-reactive protein (CRP) and procalcitonin have shown diagnostic utility for respiratory tract infections, however few studies have focussed on their ability to distinguish between tuberculosis, CAP, and PJP in HIV-infected inpatients.

methodsWe evaluated the diagnostic accuracy of CRP and procalcitonin, compared with composite reference standards, to discriminate between the three target infections in adult HIV-infected inpatients in two district level hospitals in Cape Town, South Africa. Participants were admitted with current cough and danger signs in accordance with the WHO algorithm for tuberculosis in seriously ill HIV-infected patients. Study clinicians were blinded to CRP and procalcitonin results.

resultsTwo hundred forty-eight participants met study case definitions: 133 with tuberculosis, 61 with CAP, 16 with PJP, and 38 with mixed infection. In the 210 particpants with single infections the differences in median CRP and procalcitonin concentrations between the three infections were statistically significant, but distributions overlapped considerably. CRP and procalcitonin concentrations were highest in the CAP group and lowest in the PJP group. CRP and procalcitonin cut-offs with sensitivities of ≥90% were found for all three target infection pairs, but corresponding specificities were low. Highest receiver operating characteristic areas under the curve for CRP and procalcitonin were for PJP versus tuberculosis and PJP versus CAP (0.68 and 0.71, and 0.74 and 0.69 respectively).

conclusionsCRP and procalcitonin showed limited value in discriminating between the three target infections due to widely overlapping distributions, but diagnostic accuracy was higher for discriminating PJP from CAP or tuberculosis. Our findings show limitations for CRP and procalcitonin, particularly for discriminiation of tuberculosis form CAP, however they may have greater diagnostic utility as part of a panel of biomarkers or in clinical prediction rules.

Indexed as

AdultAgedAnti-Retroviral AgentsArea Under CurveBiomarkersC-Reactive ProteinDiscriminant AnalysisFemaleHIV InfectionsHumansMaleMiddle AgedPneumonia, BacterialPneumonia, PneumocystisProcalcitoninProspective StudiesAnti-Retroviral AgentsBiomarkersC-Reactive ProteinProcalcitoninBacterial community-acquired pneumoniaC-reactive proteinDiagnostic accuracyHIVPneumocystis jirovecii pneumoniaProcalcitoninTuberculosisWHO algorithm

Identifiers

PMID30107791
PMCPMC6092834
OpenAlexW2886991134

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.