Executive protocol designed for new review study called: systematic review and artificial intelligence network meta-analysis (RAIN) with the first application for COVID-19.

Nader Salari, Shamarina Shohaimi, Aliakbar Kiaei, Amin Hosseinian-Far, Kamran Mansouri, Arash Ahmadi, Masoud Mohammadi

Abstract read

In one paragraph

Article in Biology methods & protocols, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it

0cells of the map it votes in

1citing 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

1 citing paper in PubMed.

Fusion of medical images using Nabla operator; Objective evaluations and step-by-step statistical comparisons.PloS one · 2023
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

7 authors.

Nader SalariDepartment of Biostatistics, School of Health, Kermanshah University of Medical Sciences, Kermanshah, Iran.

Shamarina ShohaimiDepartment of Biology, Faculty of Science, University Putra Malaysia, Serdang, Selangor, Malaysia.

Aliakbar KiaeiDepartment of Computer Engineering, Sharif University of Technology, Tehran, Iran.

Amin Hosseinian-FarDepartment of Business Systems & Operations, University of Northampton, Northampton, UK.

Kamran MansouriMedical Biology Research Centre, Kermanshah University of Medical Sciences, Kermanshah, Iran.

Arash AhmadiDepartment of Electrical and Computer Engineering, Faculty of Engineering, University of Windsor, Windsor, Canada.

Masoud MohammadiCellular and Molecular Research Center, Gerash University of Medical Sciences, Gerash, Iran.ORCID https://orcid.org/0000-0002-5722-8300

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Artificial intelligence (AI) as a suite of technologies can complement systematic review and meta-analysis studies and answer questions that cannot be typically answered using traditional review protocols and reporting methods. The purpose of this protocol is to introduce a new protocol to complete systematic review and meta-analysis studies. In this work, systematic review, meta-analysis, and meta-analysis network based on selected AI technique, and for Finally, it is expected that conducting reviews by following the proposed protocol can provide suitable answers to some of the research questions raised due to COVID-19.

Indexed as

artificial intelligenceCOVID-19meta-analysisnetwork meta-analysisprotocolsystematic review

Identifiers

PMID36694574

DOI10.1093/biomethods/bpac038

PMCPMC9869651

What Socratic holds

Textmetadata

LicenceCC BY

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 Socratic graph.