Evidence map›Paper›PMID 36911351›Full record

ArticleCampbell systematic reviews2022

PROTOCOL: Systematic review of methods to reduce risk of bias in knowledge translation interventional studies in health-related issues.

Ayat Ahmadi, Bahareh Yazdizadeh, Leila Doshmangir, Reza Majdzadeh, Shabnam Asghari

Abstract read
In one paragraph

Article in Campbell systematic reviews, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–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

2 citing papers in PubMed.

  1. Article
  2. Systematic reviews: Not always a pain.Interventional pain medicine · 2022
    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

5 authors.

Ayat AhmadiKnowledge Utilization Research Center Tehran University of Medical Sciences Tehran Iran.
Bahareh YazdizadehKnowledge Utilization Research Center Tehran University of Medical Sciences Tehran Iran.
Leila DoshmangirDepartment of Health Policy & Management Tabriz Health Services Management Research Center, School of Management & medical informatics, Tabriz University of Medical Sciences Tabriz Iran.
Reza MajdzadehCommunity Based Participatory Research Center, Knowledge Utilization Research Center Tehran University of Medical Science Tehran Iran.
Shabnam AsghariFamily Medicine Memorial University of Newfoundland St. John's Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Review studies have reported on the low quality of study methodologies and poor reporting of knowledge translation (KT) interventional studies. This flaw cause the result of such studies to become misleading. Objectives: The present review is designed to evaluate the effect of methodological factors on the results of interventional studies that aimed to evaluate KT strategies at the policy level. Search Methods: Bibliographic databases and grey literature databases will be searched. The retrieved studies will be recorded in Covidence. After screening titles and abstracts, the full texts of selected studies will be assessed against the inclusion criteria. Disagreements will be resolved through discussion or by consultation with a third author. Selection Criteria: Primary studies are studies that aimed to estimate the efficacy of KT strategies to improve evidence-informed policymaking. Study participants include policymakers and the intervention is a KT strategy. The main outcome is the desired changes in policy-makers towards evidence-informed decision-making. Data Collection and Analysis: The main effect sizes will be expressed as standard mean difference and its variance for the main efficacy outcome of KT strategies in primary studies. Forest plot meta-analysis will be used to synthesize the effect of each group of KT strategies. The contribution of ROB to the efficacy of KT interventions will be assessed via Meta-epidemiology analysis. The overall estimate will be calculated using inverse-variance random-effects meta-analysis with a 95% confidence interval for the estimate.

Identifiers

PMID36911351
PMCPMC9005927

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Registered trials

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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.