Evidence map›Paper›PMID 33647009›Full record

ArticlePLoS neglected tropical diseases2021

Infection Manager System (IMS) as a new hemocytometry-based bacteremia detection tool: A diagnostic accuracy study in a malaria-endemic area of Burkina Faso.

Annelies Post, Berenger Kaboré, Joel Bognini, Salou Diallo, Palpouguini Lompo, Basile Kam, Natacha Herssens, Fred van Opzeeland, Christa E van der Gaast-de Jongh, Jeroen D Langereis and 9 more

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in PLoS neglected tropical diseases, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02669823 (Optimizing Sysmex Technology as an Innovative Tool to Differentiate Between Malaria), which is not on this map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
1.0field-weighted citation impact, top 24% 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.

NCT02669823 completednot on this map

Optimizing Sysmex Technology as an Innovative Tool to Differentiate Between Malaria (PALUdism) and BACterial Infections in a Malaria Endemic Region

TypeobservationalSponsorSysmex Europe GmbHRan2016 to 2017Enrolled930ConditionsTropical Infectious DiseasesArmsNone, treatment as actual best practice
3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 6 citations in OpenAlex.

  1. Procalcitonin as a Candidate Biomarker for Malarial Infection and Severe Malaria: A Meta-Analysis.International journal of environmental research and public health · 2022
    Pooled it
  2. Observational
  3. Observational
  4. Article
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

19 authors at 4 institutions in 3 countries.

Annelies PostNijmegen Institute of International Health, Radboudumc, Nijmegen, the Netherlands.ORCID 0000-0002-0471-8250
Berenger KaboréNijmegen Institute of International Health, Radboudumc, Nijmegen, the Netherlands.ORCID 0000-0002-3719-7033
Joel BogniniIRSS/Clinical Research Unit of Nanoro (CRUN), Nanoro, Burkina Faso.ORCID 0000-0002-8465-2895
Salou DialloIRSS/Clinical Research Unit of Nanoro (CRUN), Nanoro, Burkina Faso.
Palpouguini LompoIRSS/Clinical Research Unit of Nanoro (CRUN), Nanoro, Burkina Faso.ORCID 0000-0002-7547-2892
Basile KamIRSS/Clinical Research Unit of Nanoro (CRUN), Nanoro, Burkina Faso.
Natacha HerssensDepartment of Clinical Sciences, Institute of Tropical Medicine (ITM), Antwerp, Belgium.ORCID 0000-0002-9231-3084
Fred van OpzeelandRadboud Center for Infectious Diseases, Radboudumc, Nijmegen, the Netherlands.
Christa E van der Gaast-de JonghRadboud Center for Infectious Diseases, Radboudumc, Nijmegen, the Netherlands.
Jeroen D LangereisRadboud Center for Infectious Diseases, Radboudumc, Nijmegen, the Netherlands.ORCID 0000-0001-5317-3202
Marien I de JongeRadboud Center for Infectious Diseases, Radboudumc, Nijmegen, the Netherlands.ORCID 0000-0003-2812-5895
Janette Rahamat-LangendoenRadboud Center for Infectious Diseases, Radboudumc, Nijmegen, the Netherlands.ORCID 0000-0003-0120-7962
Teun BousemaRadboud Center for Infectious Diseases, Radboudumc, Nijmegen, the Netherlands.ORCID 0000-0003-2666-094X
Heiman WertheimRadboud Center for Infectious Diseases, Radboudumc, Nijmegen, the Netherlands.
Robert W SauerweinRadboud Center for Infectious Diseases, Radboudumc, Nijmegen, the Netherlands.ORCID 0000-0002-3163-7202
Halidou TintoIRSS/Clinical Research Unit of Nanoro (CRUN), Nanoro, Burkina Faso.ORCID 0000-0002-0472-3586
Jan JacobsDepartment of Clinical Sciences, Institute of Tropical Medicine (ITM), Antwerp, Belgium.
Quirijn de MastNijmegen Institute of International Health, Radboudumc, Nijmegen, the Netherlands.ORCID 0000-0001-6056-157X
Andre J van der VenNijmegen Institute of International Health, Radboudumc, Nijmegen, the Netherlands.ORCID 0000-0003-1833-3391
Radboud University Nijmegen · NLInstitut de Recherche en Sciences de la Santé · BFInstituut voor Tropische Geneeskunde · BENazi Boni University · BF

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNew hemocytometric parameters can be used to differentiate causes of acute febrile illness (AFI). We evaluated a software algorithm-Infection Manager System (IMS)-which uses hemocytometric data generated by Sysmex hematology analyzers, for its accuracy to detect bacteremia in AFI patients with and without malaria in Burkina Faso. Secondary aims included comparing the accuracy of IMS with C-reactive protein (CRP) and procalcitonin (PCT).

methodsIn a prospective observational study, patients of ≥ three-month-old (range 3 months- 90 years) presenting with AFI were enrolled. IMS, blood culture and malaria diagnostics were done upon inclusion and additional diagnostics on clinical indication. CRP, PCT, viral multiplex PCR on nasopharyngeal swabs and bacterial- and malaria PCR were batch-tested retrospectively. Diagnostic classification was done retrospectively using all available data except IMS, CRP and PCT results.

findingsA diagnosis was affirmed in 549/914 (60.1%) patients and included malaria (n = 191) bacteremia (n = 69), viral infections (n = 145), and malaria-bacteremia co-infections (n = 47). The overall sensitivity, specificity, and negative predictive value (NPV) of IMS for detection of bacteremia in patients of ≥ 5 years were 97.0% (95% CI: 89.8-99.6), 68.2% (95% CI: 55.6-79.1) and 95.7% (95% CI: 85.5-99.5) respectively, compared to 93.9% (95% CI: 85.2-98.3), 39.4% (95% CI: 27.6-52.2), and 86.7% (95% CI: 69.3-96.2) for CRP at ≥20mg/L. The sensitivity, specificity and NPV of PCT at 0.5 ng/ml were lower at respectively 72.7% (95% CI: 60.4-83.0), 50.0% (95% CI: 37.4-62.6) and 64.7% (95% CI: 50.1-77.6) The diagnostic accuracy of IMS was lower among malaria cases and patients <5 years but remained equal to- or higher than the accuracy of CRP.

interpretationIMS is a new diagnostic tool to differentiate causes of AFI. Its high NPV for bacteremia has the potential to improve antibiotic dispensing practices in healthcare facilities with hematology analyzers. Future studies are needed to evaluate whether IMS, combined with malaria diagnostics, may be used to rationalize antimicrobial prescription in malaria endemic areas.

trial registrationClinicalTrials.gov (NCT02669823) https://clinicaltrials.gov/ct2/show/NCT02669823.

Indexed as

AdolescentAutomation, LaboratoryBacteremiaBurkina FasoChildChild, PreschoolCoinfectionC-Reactive ProteinFemaleFever of Unknown OriginHumansInfantMalariaMaleProcalcitoninProspective StudiesC-Reactive ProteinProcalcitonin

Identifiers

PMID33647009
PMCPMC7951874
OpenAlexW3135029324

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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.