Evidence map›Paper›PMID 34168027›Full record

ReviewBMJ open2021

Methodological review to develop a list of bias items used to assess reviews incorporating network meta-analysis: protocol and rationale.

Carole Lunny, Andrea C Tricco, Areti-Angeliki Veroniki, Sofia Dias, Brian Hutton, Georgia Salanti, James M Wright, Ian White, Penny Whiting

Abstract readReview
In one paragraph

Review in BMJ open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

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

  1. Pooled it
  2. Review
  3. Article
  4. Clinical validation of grouping conservative treatments in neck pain for use in a network meta-analysis: a Delphi consensus study.European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society · 2024
    Article
  5. Article
  6. Article
  7. Review
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

9 authors.

Carole LunnyKnowledge Translation Program, Li Ka Shing Knowledge Institute of St Michael's Hospital, Toronto, Ontario, Canada carole.lunny@ubc.ca.ORCID 0000-0002-7825-6765
Andrea C TriccoKnowledge Translation Program, Li Ka Shing Knowledge Institute of St Michael's Hospital, Toronto, Ontario, Canada.ORCID 0000-0002-4114-8971
Areti-Angeliki VeronikiSchool of Education, University of Ioannina, Ioannina, Greece.
Sofia DiasCentre for Reviews and Dissemination, University of York, York, UK.ORCID 0000-0002-2172-0221
Brian HuttonOttawa Hospital Research Institute, Ottawa, Ontario, Canada.ORCID 0000-0001-5662-8647
Georgia SalantiInstitute of Social and Preventive Medicine, University of Bern, Bern, Switzerland.
James M WrightAnesthesiology, Pharmacology & Therapeutics, Cochrane Hypertension Review Group and the Therapeutics Initiative, University of British Columbia, Vancouver, BC, Canada.
Ian WhiteMRC Clinical Trials Unit, University College London, London, UK.
Penny WhitingPopulation Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.

Funding

CIHR 433402Medical Research Council MC_UU_00004/06Medical Research Council MR/K01465X/1
6 · The paper itself

Abstract

introductionSystematic reviews with network meta-analysis (NMA; ie, multiple treatment comparisons, indirect comparisons) have gained popularity and grown in number due to their ability to provide comparative effectiveness of multiple treatments for the same condition. The methodological review aims to develop a list of items relating to biases in reviews with NMA. Such a list will inform a new tool to assess the risk of bias in NMAs, and potentially other reporting or quality checklists for NMAs which are being updated. METHODS AND ANALYSIS: We will include articles that present items related to bias, reporting or methodological quality, articles assessing the methodological quality of reviews with NMA, or papers presenting methods for NMAs. We will search Ovid MEDLINE, the Cochrane library and difficult to locate/unpublished literature. Once all items have been extracted, we will combine conceptually similar items, classifying them as referring to bias or to other aspects of quality (eg, reporting). When relevant, reporting items will be reworded into items related to bias in NMA review conclusions, and then reworded as signalling questions. ETHICS AND DISSEMINATION: No ethics approval was required. We plan to publish the full study open access in a peer-reviewed journal, and disseminate the findings via social media (Twitter, Facebook and author affiliated websites). Patients, healthcare providers and policy-makers need the highest quality evidence to make decisions about which treatments should be used in healthcare practice. Being able to critically appraise the findings of systematic reviews that include NMA is central to informed decision-making in patient care.

Indexed as

PublicationsPublishingBiasHumansNetwork Meta-Analysis as TopicSystematic Reviews as Topicepidemiologyprotocols & guidelinesquality in health carestatistics & research methods

Identifiers

PMID34168027
PMCPMC8231030

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.