Evidence map›Paper›PMID 37879686›Full record

ArticleBMJ open2023

Prognostic prediction models for clinical outcomes in patients diagnosed with visceral leishmaniasis: protocol for a systematic review.

James Wilson, Forhad Chowdhury, Shermarke Hassan, Elinor K Harriss, Fabiana Alves, Prabin Dahal, Kasia Stepniewska, Philippe J Guérin

Abstract read
In one paragraph

Article in BMJ open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 2 pooled it
–field-weighted citation impact
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

6 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Leishmaniasis.Nature reviews. Disease primers · 2025
    Review
  6. 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

8 authors.

James WilsonInfectious Diseases Data Observatory (IDDO), University of Oxford, Oxford, UK james.wilson@iddo.org.ORCID 0000-0003-3615-4928
Forhad ChowdhuryInfectious Diseases Data Observatory (IDDO), University of Oxford, Oxford, UK.
Shermarke HassanInfectious Diseases Data Observatory (IDDO), University of Oxford, Oxford, UK.
Elinor K HarrissBodleian Health Care Libraries, University of Oxford, Oxford, UK.
Fabiana AlvesDrugs for Neglected Disease Initiative, Geneva, Switzerland.
Prabin DahalInfectious Diseases Data Observatory (IDDO), University of Oxford, Oxford, UK.
Kasia StepniewskaInfectious Diseases Data Observatory (IDDO), University of Oxford, Oxford, UK.
Philippe J GuérinInfectious Diseases Data Observatory (IDDO), University of Oxford, Oxford, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionVisceral leishmaniasis (VL) is a neglected tropical disease responsible for many thousands of preventable deaths each year. Symptomatic patients often struggle to access effective treatment, without which death is the norm. Risk prediction tools support clinical teams and policymakers in identifying high-risk patients who could benefit from more intensive management pathways. Investigators interested in using their clinical data for prognostic research should first identify currently available models that are candidates for validation and possible updating. Addressing these needs, we aim to identify, summarise and appraise the available models predicting clinical outcomes in VL patients. METHODS AND ANALYSIS: We will include studies that have developed, validated or updated prognostic models predicting future clinical outcomes in patients diagnosed with VL. Systematic reviews and meta-analyses that include eligible studies are also considered for review. Conference abstracts and educational theses are excluded. Data extraction, appraisal and reporting will follow current methodological guidelines. Ovid Embase; Ovid MEDLINE; the Web of Science Core Collection, SciELO and LILACS are searched from database inception to 1 March 2023 using terms developed for the identification of prediction models, and with no language restriction. Screening, data extraction and risk of bias assessment will be performed in duplicate with discordance resolved by a third independent reviewer. Risk of bias will be assessed using the Prediction model Risk Of Bias ASsessment Tool (PROBAST). Tables and figures will compare and contrast key model information, including source data, participants, model development and performance measures, and risk of bias. We will consider the strengths, limitations and clinical applicability of the identified models. ETHICS AND DISSEMINATION: Ethics approval is not required for this review. The systematic review and all accompanying data will be submitted to an open-access journal. Findings will also be disseminated through the research group's website (www.iddo.org/research-themes/visceral-leishmaniasis) and social media channels. PROSPERO REGISTRATION NUMBER: CRD42023417226.

Indexed as

Leishmaniasis, VisceralBiasHumansPrognosisReview Literature as TopicSystematic Reviews as TopicTreatment OutcomeINFECTIOUS DISEASESNeglected DiseasesPrognosisProtocols & guidelinesSTATISTICS & RESEARCH METHODSSystematic Review

Identifiers

PMID37879686
PMCPMC10603465

What OpenQuestion holds

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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.