Evidence map›Paper›PMID 36152142›Full record

SynthesisMaternal and child health journal2022

Comprehension of Pictograms Demonstrating the Risk of Medication Use During Pregnancy: A Systematic Review.

Bianca Vendruscolo Bianchini, Karine Curvello, Camila Giugliani, Tatiane da Silva Dal Pizzol

Abstract readSystematic Review
PubMed Publisher
In one paragraph

Synthesis in Maternal and child health journal, 2022. 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.

  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

4 authors.

Bianca Vendruscolo BianchiniPostgraduate Program in Epidemiology, Federal University of Rio Grande do Sul, Ramiro Barcelos Street, 2400, 2nd floor, Porto Alegre, BR, Brazil. biancabianchini23@gmail.com.
Karine CurvelloPostgraduate Program in Epidemiology and Undergraduate in Pharmacy and Medicine, Federal University of Rio Grande do Sul, Porto Alegre, Brazil.
Camila GiuglianiPostgraduate Program in Epidemiology and Undergraduate in Pharmacy and Medicine, Federal University of Rio Grande do Sul, Porto Alegre, Brazil.
Tatiane da Silva Dal PizzolPostgraduate Program in Epidemiology and Undergraduate in Pharmacy and Medicine, Federal University of Rio Grande do Sul, Porto Alegre, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis study aimed to summarize the comprehension of a pictogram about the risk of medication use during pregnancy.

methodsA systematic review was performed using the PRISMA checklist of the PubMed, Embase, Cochrane Central Register of Controlled Trials, CINAHL, PsycInfo, LILACS, Academic Search Premier, Scopus, and Web of Science databases, grey literature (Google Scholar and OpenAIRE), ClinicalTrials.gov website, and design journals and congresses. The search was performed since the database inception, without language or year of publication restrictions.

resultsTwelve studies met the inclusion criteria for this review, 2 of which were randomized clinical trials. The pictograms and methods used varied widely among studies. The comprehension of the pregnancy pictograms had a complex communication outcome with a variation of 21-96%. CONCLUSIONS FOR PRACTICE: The lack of a standard pictogram and uniform methods to evaluate the comprehension of the pregnancy pictogram made it challenging to reach a conclusion with the studies available to date on the safety and efficacy of the pregnancy pictogram to alert the risk of medication use.

Indexed as

CommunicationComprehensionFemaleHumansPregnancyHealth communicationPictogramPictogram comprehensionPregnant womenSystematic review

Identifiers

What OpenQuestion holds

Textmetadata
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.