Evidence map›Paper›PMID 31851750›Full record

ArticleInternational journal of surgery protocols2019

The relationship of miR-181a expression level and AML: A systematic review protocol.

Mohsen Koolivand, Sohaila Moein, Kianoosh MalekZadeh

Open access · diamondAbstract read
In one paragraph

Article in International journal of surgery protocols, 2019. 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, top 83% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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

3 authors at 1 institution in 1 country.

Mohsen KoolivandStudent Committee, Hormozgan University of Medical Sciences, Bandar Abbas, Hormozgan, Iran.
Sohaila MoeinDepartment of Biochemistry, Faculty of Medicine, Hormozgan University of Medical Sciences, Bandar Abbas, Hormozgan, Iran.
Kianoosh MalekZadehMedical Genetics Department, Faculty of Medicine, Hormozgan University of Medical Sciences, Bandar Abbas, Hormozgan, Iran.
Hormozgan University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe most common type of leukemia is acute myeloid leukemia (AML) with the lowest survival rate among all of the leukemias particularly in adults. The evidence has shown that dysregulation of miRNA expression is associated with AML. Therefore, the aim of this systematic review was to clarify the role of miR-181a expression in AML. METHODS AND ANALYSIS: In the present study, observational studies of the roles of miR-181a expression in patients with AML will be included. Standards and indicators test should be performed for all patients. We will search PubMed, SCOPUS and ISI Web of Science with no restriction of language. The outcomes will be reviewed for association between miR-181a level and AML progression and the strength of this relationship with AML will be investigated. Selection of articles and data extraction will be performed by two independent reviewers. STROBE will be used for assessment of study quality. Publication bias and data synthesis will be an assessment by funnel plots and Beggs and Egger's tests using Stata software V.12.1. ETHICS AND DISSEMINATION: There are no ethical issues. TRIAL REGISTRATION NUMBER: This systematic review protocol is registered in the PROSPERO (International Prospective Register of Systematic Reviews), and registration number CRD42016040080.

Indexed as

Acute myeloid leukemiamiR-181aRelationship

Identifiers

PMID31851750
PMCPMC6913575
OpenAlexW2906627947

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.