Evidence map›Paper›PMID 31808588›Full record

ArticleTropical medicine & international health : TM & IH2020

Sensitivity of C-reactive protein for the identification of patients with laboratory-confirmed bacterial infections in northern Tanzania.

Thomas Althaus, Yoel Lubell, Venance P Maro, Blandina T Mmbaga, Bingileki Lwezaula, Christine Halleux, Holly M Biggs, Renee L Galloway, Robyn A Stoddard, Jamie L Perniciaro and 5 more

Open access · bronzeAbstract readEvaluation Study
In one paragraph

Article in Tropical medicine & international health : TM & IH, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.3field-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

7 citing papers in PubMed, 8 citations in OpenAlex.

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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

15 authors at 11 institutions in 7 countries.

Thomas AlthausMahidol-Oxford Tropical Medicine Research Unit, Mahidol University, Bangkok, Thailand.
Yoel LubellMahidol-Oxford Tropical Medicine Research Unit, Mahidol University, Bangkok, Thailand.
Venance P MaroKilimanjaro Christian Medical Centre, Moshi, Tanzania.
Blandina T MmbagaKilimanjaro Christian Medical Centre, Moshi, Tanzania.
Bingileki LwezaulaMawenzi Regional Referral Hospital, Moshi, Tanzania.
Christine HalleuxSpecial Programme for Research and Training in Tropical Diseases, WHO, Geneva, Switzerland.
Holly M BiggsDivision of Infectious Diseases, Department of Medicine, Duke University, Durham, NC, USA.
Renee L GallowayBacterial Special Pathogens Branch, Centers for Disease Control and Prevention, Atlanta, GA, USA.
Robyn A StoddardBacterial Special Pathogens Branch, Centers for Disease Control and Prevention, Atlanta, GA, USA.
Jamie L PerniciaroRickettsial Zoonoses Branch, Centers for Disease Control and Prevention, Atlanta, GA, USA.
William L NicholsonRickettsial Zoonoses Branch, Centers for Disease Control and Prevention, Atlanta, GA, USA.
Kelly DoyleIntermountain Central Laboratory, Intermountain Healthcare, Murray, UT, USA.
Piero OlliaroCentre for Tropical Medicine and Global Health, University of Oxford, Oxford, UK.
John A CrumpKilimanjaro Christian Medical Centre, Moshi, Tanzania.
Matthew P RubachKilimanjaro Christian Medical Centre, Moshi, Tanzania.
Centers for Disease Control and Prevention · USDuke Institute for Health Innovation · USDuke University · USIntermountain Healthcare · USKilimanjaro Christian Medical Centre · TZMahidol University · THNational Centre for Infectious Diseases · SGSpecial Programme for Research and Training in Tropical DiseasesSt. Francis Referral Hospital · TZUniversity of Oxford · GBWorld Health Organization · CH

Funding

University of California Global Health Institute Program for Fellows and ScholarsR25TW009343 · FIC · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI COHEN, CRAIG R, STRATHDEE, STEFFANIE A. · 2012 to 2017
$6.4M
Vanderbilt-Emory-Cornell-Duke Consortium for Global Health Fellows (VECDor)R25TW009337 · FIC · VANDERBILT UNIVERSITY MEDICAL CENTER · PI HEIMBURGER, DOUGLAS CORBETT, VERMUND, STEN H. · 2012 to 2016
$6.3M
Investigating Febrile Deaths in Tanzania (INDITe)R01AI121378 · NIAID · DUKE UNIVERSITY · PI RUBACH, MATTHEW P · 2016 to 2020
$2.7M
The Impact and Society Ecology of Bacterial Zoonoses in Northern Tanzania: UnderR01TW009237 · FIC · DUKE UNIVERSITY · PI CRUMP, JOHN ANDREW · 2011 to 2014
$1.7M
Viral Zoonoses and Severe Febrile Illness in Northern TanzaniaK23AI116869 · NIAID · DUKE UNIVERSITY · PI RUBACH, MATTHEW P · 2016 to 2020
$896k
FIC NIH HHS 0FIC NIH HHS 2FIC NIH HHS 3FIC NIH HHS 4FIC NIH HHS 5FIC NIH HHS 9FIC NIH HHS RFIC NIH HHS R01 TW009237FIC NIH HHS R25 TW009337FIC NIH HHS R25 TW009343FIC NIH HHS TFIC NIH HHS WGates Foundation OPPGH5231NIAID NIH HHS K23 AI116869NIAID NIH HHS R01 AI121378NIH HHS FIC R25009343NIH HHS NIAID K23 AI116869WHO TDR (Programme for Research Training in Tropical Diseases)World Health Organization 001
6 · The paper itself

Abstract

objectiveIdentifying febrile patients requiring antibacterial treatment is challenging, particularly in low-resource settings. In South-East Asia, C-reactive protein (CRP) has been demonstrated to be highly sensitive and moderately specific in detecting bacterial infections and to safely reduce unnecessary antibacterial prescriptions in primary care. As evidence is scant in sub-Saharan Africa, we assessed the sensitivity of CRP in identifying serious bacterial infections in Tanzania.

methodsSamples were obtained from inpatients and outpatients in a prospective febrile illness study at two hospitals in Moshi, Tanzania, 2011-2014. Bacterial bloodstream infections (BSI) were established by blood culture, and bacterial zoonotic infections were defined by ≥4 fold rise in antibody titre between acute and convalescent sera. The sensitivity of CRP in identifying bacterial infections was estimated using thresholds of 10, 20 and 40 mg/l. Specificity was not assessed because determining false-positive CRP results was limited by the lack of diagnostic testing to confirm non-bacterial aetiologies and because ascertaining true-negative cases was limited by the imperfect sensitivity of the diagnostic tests used to identify bacterial infections.

resultsAmong 235 febrile outpatients and 569 febrile inpatients evaluated, 31 (3.9%) had a bacterial BSI and 61 (7.6%) had a bacterial zoonosis. Median (interquartile range) CRP values were 173 (80-315) mg/l in bacterial BSI, and 108 (31-208) mg/l in bacterial zoonoses. The sensitivity (95% confidence intervals) of CRP was 97% (83%-99%), 94% (79%-98%) and 90% (74%-97%) for identifying bacterial BSI, and 87% (76%-93%), 82% (71%-90%) and 72% (60%-82%) for bacterial zoonoses, using thresholds of 10, 20 and 40 mg/l, respectively.

conclusionC-reactive protein was moderately sensitive for bacterial zoonoses and highly sensitive for identifying BSIs. Based on these results, operational studies are warranted to assess the safety and clinical utility of CRP for the management of non-malaria febrile illness at first-level health facilities in sub-Saharan Africa.

Indexed as

AdolescentAdultBacterial InfectionsBiomarkersChildC-Reactive ProteinFemaleHumansMaleMiddle AgedROC CurveSensitivity and SpecificityTanzaniaYoung AdultBiomarkersC-Reactive ProteinAfrique subsaharienne (ASS)antibacterial prescriptionbacterial infectionC-reactive protein (CRP)feverfièvreinfection bactérienneprescription antibactérienneprotéine C-réactive (CRP)sub-Saharan Africa (SSA)

Identifiers

PMID31808588
PMCPMC7265697
OpenAlexW2992404649

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.