Evidence map›Paper›PMID 26691572›Full record

ArticleInternational wound journal2017

The development and testing of a skin tear risk assessment tool.

Nelly Newall, Gill F Lewin, Max K Bulsara, Keryln J Carville, Gavin D Leslie, Pam A Roberts

Open access · bronzeAbstract read
In one paragraph

Article in International wound journal, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
3.9field-weighted citation impact, top 7% 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.

  1. Pooled it
  2. Observational
  3. Article
  4. Models for predicting skin tears: A comparison.International wound journal · 2020
    Article
  5. 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

6 authors at 3 institutions in 2 countries.

Nelly NewallResearch Department, Silver Chain Group, Osborne Park, WA, Australia.
Gill F LewinResearch Department, Silver Chain Group, Osborne Park, WA, Australia.
Max K BulsaraInstitute for Health Research, University of Notre Dame, Fremantle, WA, Australia.
Keryln J CarvilleResearch Department, Silver Chain Group, Osborne Park, WA, Australia.
Gavin D LeslieSchool of Nursing and Midwifery, Curtin University, Perth, WA, Australia.
Pam A RobertsSchool of Nursing and Midwifery, Curtin University, Perth, WA, Australia.
Curtin University · AUOsborne & Associates (United States) · USThe University of Notre Dame Australia · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of the present study is to develop a reliable and valid skin tear risk assessment tool. The six characteristics identified in a previous case control study as constituting the best risk model for skin tear development were used to construct a risk assessment tool. The ability of the tool to predict skin tear development was then tested in a prospective study. Between August 2012 and September 2013, 1466 tertiary hospital patients were assessed at admission and followed up for 10 days to see if they developed a skin tear. The predictive validity of the tool was assessed using receiver operating characteristic (ROC) analysis. When the tool was found not to have performed as well as hoped, secondary analyses were performed to determine whether a potentially better performing risk model could be identified. The tool was found to have high sensitivity but low specificity and therefore have inadequate predictive validity. Secondary analysis of the combined data from this and the previous case control study identified an alternative better performing risk model. The tool developed and tested in this study was found to have inadequate predictive validity. The predictive validity of an alternative, more parsimonious model now needs to be tested.

Indexed as

AgedAged, 80 and overDiagnostic Techniques and ProceduresFemaleHumansLacerationsMaleMiddle AgedPredictive Value of TestsProspective StudiesPsychometricsReproducibility of ResultsRisk AssessmentSkinProspective cohort studyRisk assessmentSkin tears

Identifiers

PMID26691572
PMCPMC7950140
OpenAlexW2209076609

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.