Evidence map›Paper›PMID 29730625›Full record

ArticleBMJ open2018

Methods and quality of disease models incorporating more than two sexually transmitted infections: a protocol for a systematic review of the evidence.

Fabian Sailer, Greta Rait, Alice Howe, John Saunders, Rachael Hunter

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.9field-weighted citation impact, top 20% 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

0 citing papers in PubMed, 2 citations in OpenAlex.

No citing paper in PubMed yet.

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

5 authors at 3 institutions in 1 country.

Fabian SailerResearch Department of Primary Care and Population Health, University College London, London, UK.ORCID 0000-0002-1535-5627
Greta RaitResearch Department of Primary Care and Population Health, University College London, London, UK.
Alice HoweInstitute of Women's Health, University College London, London, UK.
John SaundersHealth Protection Research Unit in Blood Borne and Sexually Transmitted Infections at University College London, National Institute for Health Research, London, UK.
Rachael HunterResearch Department of Primary Care and Population Health, University College London, London, UK.ORCID 0000-0002-7447-8934
National Institute for Health Research · GBUniversity College London · GBLondon Women's Clinic · GB

Funding

Department of Health
6 · The paper itself

Abstract

introductionDisease models can be useful tools for policy makers to inform their decisions. They can help to estimate the costs and benefits of interventions without conducting clinical trials and help to extrapolate the findings of clinical trials to a population level.Sexually transmitted infections (STIs) do not operate in isolation. Risk-taking behaviours and biological interactions can increase the likelihood of an individual being coinfected with more than one STI.Currently, few STI models consider coinfection or the interaction between STIs. We aim to identify and summarise STI models for two or more STIs and describe their modelling approaches. METHODS AND ANALYSIS: Six databases (Cochrane, Embase, PLOS, ProQuest, Medline and Web of Science) were searched on 27 November 2018 to identify studies that focus on the reporting of the methodology and quality of models for at least two different STIs. The quality of all eligible studies will be accessed using a percentage scale published by Kopec ETHICS AND DISSEMINATION: Ethical approval is not required for this systematic review. The results of this review will be published in a peer-reviewed journal and presented at a suitable conference. The findings from this review will be used to inform the development of a new multi-STI model. PROSPERO REGISTRATION NUMBER: CRD42017076837.

Indexed as

CoinfectionModels, BiologicalSexually Transmitted DiseasesHumansResearch DesignSystematic Reviews as Topichealth economicshealth informaticsinfectious diseasessexual medicine

Identifiers

PMID29730625
PMCPMC5942408
OpenAlexW2799935656

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.