Evidence map›Paper›PMID 29059253›Full record

Trial reportPLoS medicine2017

A novel electronic algorithm using host biomarker point-of-care tests for the management of febrile illnesses in Tanzanian children (e-POCT): A randomized, controlled non-inferiority trial.

Kristina Keitel, Frank Kagoro, Josephine Samaka, John Masimba, Zamzam Said, Hosiana Temba, Tarsis Mlaganile, Willy Sangu, Clotilde Rambaud-Althaus, Alain Gervaix and 2 more

3 registry-linked trialsOpen access · goldAbstract readMulticenter StudyRandomized Controlled Trial
In one paragraph

Trial report in PLoS medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 3 registered trials, which are not on this map. Cited by 91 papers, 8 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
91citing papers in PubMed, 8 pooled it
26.4field-weighted citation impact, top 1% 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.

NCT02225769 nacompletednot on this map

Electronic Algorithms Based on Host Biomarkers Point of Care Tests to Decide on Admission and Antibiotic Prescription in Tanzanian Febrile Children

TypeinterventionalSponsorSwiss Tropical & Public Health InstituteRan2014 to 2016Enrolled3,192ConditionsAcute Febrile IllnessArmsManagement of febrile children using e-POCT, Management of febrile children using ALMANACH
NCT05108831 nacompletednot on this mapstarted 2021, after this paper: background citation

Dynamic Clinical Decision Support Algorithms to Manage Sick Children in Primary Health Care Settings in Rwanda

TypeinterventionalSponsorCenter for Primary Care and Public Health (Unisante), University of Lausanne, SwitzerlandRan2021 to 2024Enrolled85,212ConditionsChild HealthArmsePOCT+
NCT05144763 nacompletednot on this mapstarted 2021, after this paper: background citation

Dynamic Clinical Decision Support Algorithms to Manage Sick Children in Primary Health Care Settings in Tanzania

TypeinterventionalSponsorCenter for Primary Care and Public Health (Unisante), University of Lausanne, SwitzerlandRan2021 to 2024Enrolled92,331ConditionsChild HealthArmsePOCT+
3 · Its place in the literature

Who cites it

91 citing papers in PubMed, 8 syntheses or guidelines pooled it, 152 citations in OpenAlex.

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  13. Causes of fever in primary care in Southeast Asia and the performance of C-reactive protein in discriminating bacterial from viral pathogens.International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases · 2020
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31 more citing papers are in PubMed but not listed here.

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

12 authors at 5 institutions in 3 countries.

Kristina KeitelSwiss Tropical and Public Health Institute, Basel, Switzerland.ORCID http://orcid.org/0000-0002-9663-3843
Frank KagoroIfakara Health Institute, Dar es Salaam, Tanzania.ORCID http://orcid.org/0000-0003-4608-7167
Josephine SamakaIfakara Health Institute, Dar es Salaam, Tanzania.
John MasimbaIfakara Health Institute, Dar es Salaam, Tanzania.
Zamzam SaidIfakara Health Institute, Dar es Salaam, Tanzania.
Hosiana TembaIfakara Health Institute, Dar es Salaam, Tanzania.
Tarsis MlaganileIfakara Health Institute, Dar es Salaam, Tanzania.
Willy SanguIlala Municipality, Dar es Salaam, Tanzania.
Clotilde Rambaud-AlthausMédecins Sans Frontières, Geneva, Switzerland.
Alain GervaixPediatric Emergency Medicine Department, Child and Adolescent Medicine, Geneva University Hospital, Geneva, Switzerland.
Blaise GentonSwiss Tropical and Public Health Institute, Basel, Switzerland.
Valérie D'AcremontSwiss Tropical and Public Health Institute, Basel, Switzerland.ORCID http://orcid.org/0000-0002-4881-7787
Ifakara Health Institute · TZSwiss Tropical and Public Health Institute · CHBoston Children's Hospital · USMédecins Sans Frontières · CHUniversity Hospital of Geneva · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe management of childhood infections remains inadequate in resource-limited countries, resulting in high mortality and irrational use of antimicrobials. Current disease management tools, such as the Integrated Management of Childhood Illness (IMCI) algorithm, rely solely on clinical signs and have not made use of available point-of-care tests (POCTs) that can help to identify children with severe infections and children in need of antibiotic treatment. e-POCT is a novel electronic algorithm based on current evidence; it guides clinicians through the entire consultation and recommends treatment based on a few clinical signs and POCT results, some performed in all patients (malaria rapid diagnostic test, hemoglobin, oximeter) and others in selected subgroups only (C-reactive protein, procalcitonin, glucometer). The objective of this trial was to determine whether the clinical outcome of febrile children managed by the e-POCT tool was non-inferior to that of febrile children managed by a validated electronic algorithm derived from IMCI (ALMANACH), while reducing the proportion with antibiotic prescription. METHODS AND

findingsWe performed a randomized (at patient level, blocks of 4), controlled non-inferiority study among children aged 2-59 months presenting with acute febrile illness to 9 outpatient clinics in Dar es Salaam, Tanzania. In parallel, routine care was documented in 2 health centers. The primary outcome was the proportion of clinical failures (development of severe symptoms, clinical pneumonia on/after day 3, or persistent symptoms at day 7) by day 7 of follow-up. Non-inferiority would be declared if the proportion of clinical failures with e-POCT was no worse than the proportion of clinical failures with ALMANACH, within statistical variability, by a margin of 3%. The secondary outcomes included the proportion with antibiotics prescribed on day 0, primary referrals, and severe adverse events by day 30 (secondary hospitalizations and deaths). We enrolled 3,192 patients between December 2014 and February 2016 into the randomized study; 3,169 patients (e-POCT: 1,586; control [ALMANACH]: 1,583) completed the intervention and day 7 follow-up. Using e-POCT, in the per-protocol population, the absolute proportion of clinical failures was 2.3% (37/1,586), as compared with 4.1% (65/1,583) in the ALMANACH arm (risk difference of clinical failure -1.7, 95% CI -3.0, -0.5), meeting the prespecified criterion for non-inferiority. In a non-prespecified superiority analysis, we observed a 43% reduction in the relative risk of clinical failure when using e-POCT compared to ALMANACH (risk ratio [RR] 0.57, 95% CI 0.38, 0.85, p = 0.005). The proportion of severe adverse events was 0.6% in the e-POCT arm compared with 1.5% in the ALMANACH arm (RR 0.42, 95% CI 0.20, 0.87, p = 0.02). The proportion of antibiotic prescriptions was substantially lower, 11.5% compared to 29.7% (RR 0.39, 95% CI 0.33, 0.45, p < 0.001). Using e-POCT, the most common indication for antibiotic prescription was severe disease (57%, 103/182 prescriptions), while it was non-severe respiratory infections using the control algorithm (ALMANACH) (70%, 330/470 prescriptions). The proportion of clinical failures among the 544 children in the routine care cohort was 4.6% (25/544); 94.9% (516/544) of patients received antibiotics on day 0, and 1.1% (6/544) experienced severe adverse events. e-POCT achieved a 49% reduction in the relative risk of clinical failure compared to routine care (RR 0.51, 95% CI 0.31, 0.84, p = 0.007) and lowered antibiotic prescriptions to 11.5% from 94.9% (p < 0.001). Though this safety study was an important first step to evaluate e-POCT, its true utility should be evaluated through future implementation studies since adherence to the algorithm will be an important factor in making use of e-POCT's advantages in terms of clinical outcome and antibiotic prescription.

conclusionse-POCT, an innovative electronic algorithm using host biomarker POCTs, including C-reactive protein and procalcitonin, has the potential to improve the clinical outcome of children with febrile illnesses while reducing antibiotic use through improved identification of children with severe infections, and better targeting of children in need of antibiotic prescription.

trial registrationClinicalTrials.gov NCT02225769.

Indexed as

AlgorithmsDecision Support TechniquesDiagnosis, Computer-AssistedPoint-of-Care SystemsPoint-of-Care TestingAge of OnsetAnti-Bacterial AgentsBiomarkersChild, PreschoolClinical Decision-MakingCommunicable DiseasesDiagnosis, DifferentialFemaleFeverHeart RateHumansAnti-Bacterial AgentsBiomarkers

Identifiers

PMID29059253
PMCPMC5653205
OpenAlexW2766539018

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.