Evidence map›Paper›PMID 36380454›Full record

SynthesisWorldviews on evidence-based nursing2022

A guide to using technological applications to facilitate systematic reviews.

Karen DiValerio Gibbs, Jennifer Loveless, Stacey Crane

Open access · greenAbstract readSystematic Review
In one paragraph

Synthesis in Worldviews on evidence-based nursing, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 2 pooled it
0.7field-weighted citation impact, top 24% 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

6 citing papers in PubMed, 2 syntheses or guidelines pooled it, 5 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Review
  5. Article
  6. 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

3 authors at 2 institutions in 1 country.

Karen DiValerio GibbsUniversity of Texas Health Science Center at Houston Cizik School of Nursing, Houston, Texas, USA.ORCID https://orcid.org/0000-0003-4283-4241
Jennifer LovelessInfectious Diseases Society of America, Arlington, Virginia, USA.
Stacey CraneUniversity of Texas Health Science Center at Houston Cizik School of Nursing, Houston, Texas, USA.
The University of Texas Health Science Center at Houston · USInfectious Diseases Society of America · US

Funding

Facilitating Comprehensive Self and Proxy Symptom Assessments for Children with CancerK23NR019294 · NINR · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI CRANE, STACEY · 2021 to 2023
$445k
NINR NIH HHS K23 NR019294
6 · The paper itself

Abstract

backgroundA systematic review (SR) synthesizes evidence in a reproducible way and informs evidence-based decision-making. SRs are time-intensive, particularly with respect to staying organized, maintaining records, and managing different phases of the process. Although there are numerous methodological guides to lead researchers in the approach to SRs to minimize bias and enhance rigor, there is less focus on technological approaches that can make the SR process easier for researchers.

aimTo guide researchers through the currently available technological applications that can assist with the SR process and synthesis of scientific literature. METHODOLOGY: Key ways that technological applications can facilitate the SR process are examined.

resultsSpecific applications are discussed and stratified by their support of one or multiple phases of the systematic review process. Key features, strengths, and limitations are provided for technological applications that support the SR process. LINKING EVIDENCE TO ACTION: This paper guides researchers in different ways technology can support SRs. Through use of these applications, the researcher can complete SRs in a timely manner and manage the process effectively.

Indexed as

Research DesignTechnologyHumansResearch Personnelapplicationsevidence-based practiceevidence synthesismeta-analysissystematic reviewtechnologytools

Identifiers

PMID36380454
PMCPMC11465921
OpenAlexW4309157747

What OpenQuestion holds

Textmetadata
LicenceTDM
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.