Evidence map›Paper›PMID 31406858›Full record

ReviewInternational journal of nursing sciences2018

Predictive accuracy of the Braden Q Scale in risk assessment for paediatric pressure ulcer: A meta-analysis.

Yaoji Liao, Guozhen Gao, Lulu Mo

Open access · goldAbstract readReview
In one paragraph

Review in International journal of nursing sciences, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 2 pooled it
9.5field-weighted citation impact, top 2% 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

16 citing papers in PubMed, 2 syntheses or guidelines pooled it, 33 citations in OpenAlex.

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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.

Yaoji LiaoSchool of Nursing, Guangzhou Medical University, Guangzhou, China.
Guozhen GaoDepartment of Nursing, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
Lulu MoSchool of Nursing, Guangzhou Medical University, Guangzhou, China.
Guangzhou Medical University · CNFirst Affiliated Hospital of Guangzhou Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsPaediatric pressure ulcers are a serious problem to healthcare service. Thus, effective and early identification of the risk of developing pressure ulcer is essential. The Braden Q scale is a widely used tool in the risk assessment of paediatric pressure ulcer, but its predictive power is controversial. Hence, we performed a meta-analysis to evaluate the predictive power of the Braden Q scale for pressure ulcer in hospitalised children and offer recommendations for clinical decision.

methodsStudies that evaluated the predictive power of the Braden Q scale were searched through databases in English and Chinese, including Medline, Cochrane Library, Embase, CINAHL, SinoMed, CNKI, Wangfang and VIP. The studies were screened by two independent reviewers. QUADAS-2 was used to assess the risk of bias of eligible studies. Demographic data and predictive value indices were extracted. The pooled sensitivity, specificity and receiver operating characteristics (ROC) were calculated by MetaDiSc 1.4 using random-effects models.

resultsCochran Q = 26.13 (

conclusionThe Braden Q scale has moderate predictive validity with medium sensitivity and low specificity for pressure ulcers in hospitalised children. Further development and modification of this tool for use in paediatric population are warranted.

Indexed as

Braden Q scaleChildPressure injuryPressure ulcerRisk assessmentSensitivity and specificity

Identifiers

PMID31406858
PMCPMC6626287
OpenAlexW2897330389

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.