Evidence map›Paper›PMID 34330761›Full record

ArticleBMJ global health2021

Anticipating the future: prognostic tools as a complementary strategy to improve care for patients with febrile illnesses in resource-limited settings.

Arjun Chandna, Jennifer Osborn, Quique Bassat, David Bell, Sakib Burza, Valérie D'Acremont, B Leticia Fernandez-Carballo, Kevin C Kain, Mayfong Mayxay, Matthew Wiens and 1 more

Open access · goldAbstract read
In one paragraph

Article in BMJ global health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed, 2 syntheses or guidelines pooled it, 20 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

11 authors at 7 institutions in 8 countries.

Arjun ChandnaCambodia Oxford Medical Research Unit, Angkor Hospital for Children, Siem Reap, Cambodia arjunchandna@gmail.com arjun@tropmedres.ac.ORCID 0000-0003-1313-7922
Jennifer OsbornFoundation for Innovative New Diagnostics, Geneva, Switzerland.
Quique BassatISGlobal, Hospital Clínic, Universitat de Barcelona, Barcelona, Spain.ORCID 0000-0003-0875-7596
David BellIndependent Consultant, Issaquah, Washington, USA.ORCID 0000-0002-7010-6340
Sakib BurzaMédecins Sans Frontières, New Delhi, India.
Valérie D'AcremontCentre for Primary Care and Public Health, University of Lausanne, Lausanne, Switzerland.
B Leticia Fernandez-CarballoFoundation for Innovative New Diagnostics, Geneva, Switzerland.
Kevin C KainDepartment of Medicine, University Health Network, Toronto, Ontario, Canada.
Mayfong MayxayCentre for Tropical Medicine & Global Health, University of Oxford, Oxford, UK.
Matthew WiensCenter for International Child Health, BC Children's Hospital, Vancouver, British Columbia, Canada.
Sabine DittrichCentre for Tropical Medicine & Global Health, University of Oxford, Oxford, UK.ORCID 0000-0002-4522-2788
FIND · CHAngkor Hospital for Children · KHInstitució Catalana de Recerca i Estudis Avançats · ESMahosot Hospital · LAMbarara University of Science and Technology · UGSwiss Tropical and Public Health Institute · CHUniversity Health Network · CA

Funding

Wellcome TrustWellcome Trust 106698Z/14/Z
6 · The paper itself

Abstract

In low-income and middle-income countries, most patients with febrile illnesses present to peripheral levels of the health system where diagnostic capacity is very limited. In these contexts, accurate risk stratification can be particularly impactful, helping to guide allocation of scarce resources to ensure timely and tailored care. However, reporting of prognostic research is often imprecise and few prognostic tests or algorithms are translated into clinical practice.Here, we review the often-conflated concepts of prognosis and diagnosis, with a focus on patients with febrile illnesses. Drawing on a recent global stakeholder consultation, we apply these concepts to propose three use-cases for prognostic tools in the management of febrile illnesses in resource-limited settings: (1) guiding referrals from the community to higher-level care; (2) informing resource allocation for patients admitted to hospital and (3) identifying patients who may benefit from closer follow-up post-hospital discharge. We explore the practical implications for new technologies and reflect on the challenges and knowledge gaps that must be addressed before this approach could be incorporated into routine care settings.Our intention is that these use-cases, alongside other recent initiatives, will help to promote a harmonised yet contextualised approach for prognostic research in febrile illness. We argue that this is especially important given the heterogeneous settings in which care is often provided for patients with febrile illnesses living in low-income and middle-income countries.

Indexed as

HospitalizationHumansPrognosisdiagnostics and toolsdiseasesdisordershealth systemsinfectionsinjuries

Identifiers

PMID34330761
PMCPMC8327814
OpenAlexW3185344104

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.