Evidence map›Paper›PMID 37699620›Full record

ArticleBMJ open2023

Development of the TrAnsparent ReportinG of observational studies Emulating a Target trial (TARGET) guideline.

Harrison J Hansford, Aidan G Cashin, Matthew D Jones, Sonja A Swanson, Nazrul Islam, Issa J Dahabreh, Barbra A Dickerman, Matthias Egger, Xavier Garcia-Albeniz, Robert M Golub and 10 more

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 35 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 1 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

35 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  7. Clinical Impact of NOTCH3 Variant Location After First Stroke in CADASIL.Annals of clinical and translational neurology · 2026
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  19. Observational
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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

20 authors.

Harrison J HansfordSchool of Health Sciences, Faculty of Medicine and Health, UNSW Sydney, Sydney, New South Wales, Australia h.hansford@unsw.edu.au.ORCID 0000-0002-5942-8509
Aidan G CashinSchool of Health Sciences, Faculty of Medicine and Health, UNSW Sydney, Sydney, New South Wales, Australia.ORCID 0000-0003-4190-7912
Matthew D JonesSchool of Health Sciences, Faculty of Medicine and Health, UNSW Sydney, Sydney, New South Wales, Australia.
Sonja A SwansonDepartment of Epidemiology, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Nazrul IslamOxford Population Health, Big Data Institute, University of Oxford, Oxford, UK.
Issa J DahabrehCAUSALab, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA.
Barbra A DickermanCAUSALab, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA.
Matthias EggerInstitute of Social & Preventive Medicine, University of Bern, Bern, Switzerland.ORCID 0000-0001-7462-5132
Xavier Garcia-AlbenizCAUSALab, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA.
Robert M GolubDepartment of Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA.
Sara LodiCAUSALab, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA.
Margarita Moreno-BetancurClinical Epidemiology & Biostatistics Unit, Murdoch Children's Research Institute, Melbourne, Victoria, Australia.
Sallie-Anne PearsonSchool of Population Health, Faculty of Medicine and Health, UNSW Sydney, Sydney, New South Wales, Australia.
Sebastian SchneeweissDivision of Pharmacoepidemiology, Department of Medicine, Brigham & Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA.
Jonathan SterneDepartment of Population Health Sciences, University of Bristol, Bristol, UK.ORCID 0000-0001-8496-6053
Melissa K SharpDepartment of Public Health and Epidemiology, RCSI University of Medicine and Health Sciences, Dublin, Ireland.
Elizabeth A StuartDepartment of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.
Miguel A HernanCAUSALab, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA.
Hopin LeeUniversity of Exeter Medical School, Exeter, UK.
James H McAuleySchool of Health Sciences, Faculty of Medicine and Health, UNSW Sydney, Sydney, New South Wales, Australia.

Funding

Observational Antiretroviral Studies In Southern Africa (OASIS) CollaborationU01AI069924 · NIAID · UNIVERSITAT BERN · PI Cleophas Chimbetete, Mary-Ann Davies · 2006 to 2026
$55.9M
Translational ScienceP30AI042853 · NIAID · MIRIAM HOSPITAL · PI CURT G BECKWITH · 1998 to 2026
$51.7M
Dynamic Strategies for the clinical management of HIV diseaseR37AI102634 · NIAID · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI MIGUEL HERNAN · 2018 to 2026
$5.3M
HIV-1 subtype-specific drug resistance in patients failing Dolutegravir-based 1st, 2nd or 3rd line regimens: the International epidemiological Databases to Evaluate AIDS (IeDEA)R01AI152772 · NIAID · UNIVERSITY OF ZURICH · PI Roger Dimitri Kouyos · 2021 to 2026
$3.2M
Identifying optimal dynamic strategies for prostate cancer controlR00CA248335 · NCI · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI DICKERMAN, BARBRA ANNE · 2022 to 2025
$688k
Department of Health HDRUK2022.0313NCI NIH HHS R00 CA248335NIAID NIH HHS P30 AI042853NIAID NIH HHS R01 AI152772NIAID NIH HHS R37 AI102634NIAID NIH HHS U01 AI069924
6 · The paper itself

Abstract

backgroundObservational studies are increasingly used to inform health decision-making when randomised trials are not feasible, ethical or timely. The target trial approach provides a framework to help minimise common biases in observational studies that aim to estimate the causal effect of interventions. Incomplete reporting of studies using the target trial framework limits the ability for clinicians, researchers, patients and other decision-makers to appraise, synthesise and interpret findings to inform clinical and public health practice and policy. This paper describes the methods that we will use to develop the TrAnsparent ReportinG of observational studies Emulating a Target trial (TARGET) reporting guideline. METHODS/

designThe TARGET reporting guideline will be developed in five stages following recommended guidance. The first stage will identify target trial reporting practices by systematically reviewing published studies that explicitly emulated a target trial. The second stage will identify and refine items to be considered for inclusion in the TARGET guideline by consulting content experts using sequential online surveys. The third stage will prioritise and consolidate key items to be included in the TARGET guideline at an in-person consensus meeting of TARGET investigators. The fourth stage will produce and pilot-test both the TARGET guideline and explanation and elaboration document with relevant stakeholders. The fifth stage will disseminate the TARGET guideline and resources via journals, conferences and courses. ETHICS AND DISSEMINATION: Ethical approval for the survey has been attained (HC220536). The TARGET guideline will be disseminated widely in partnership with stakeholders to maximise adoption and improve reporting of these studies.

Indexed as

Observational Studies as TopicPolicyReferral and ConsultationConsensusGuidelines as TopicHumansResearch PersonnelEPIDEMIOLOGYRetrospective StudiesSTATISTICS & RESEARCH METHODS

Identifiers

PMID37699620
PMCPMC10503363

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.