Evidence map›Paper›PMID 38089826›Full record

ArticleColombia medica (Cali, Colombia)

Clinimetric properties of the Perme Intensive Care Unit Mobility Score -a multicenter study for minimum important difference and responsiveness analysis.

Ricardo Kenji Nawa, Marcio Luiz Ferreira De Camillis, Monique Buttignol, Fernanda Machado Kutchak, Eder Chaves Pacheco, Louise Helena Rodrigues Gonçalves, Leonardo Miguel Correa Garcia, Karina Tavares Timenetsky, Luiz Alberto Forgiarini

Abstract readMulticenter Study
In one paragraph

Article in Colombia medica (Cali, Colombia). The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

9 authors.

Ricardo Kenji NawaHospital Israelita Albert Einstein, São Paulo, SP, Brazil.ORCID 0000-0002-0852-7013
Marcio Luiz Ferreira De CamillisHospital Moinhos de Vento, Porto Alegre, RS, Brazil.ORCID 0000-0001-5566-6422
Monique ButtignolHospital Israelita Albert Einstein, São Paulo, SP, Brazil.ORCID 0000-0002-7195-6400
Fernanda Machado KutchakUniversidade Vale dos Sinos, Porto Alegre, RS, Brazil.ORCID 0000-0002-5717-0380
Eder Chaves PachecoHospital Israelita Albert Einstein, São Paulo, SP, Brazil.ORCID 0000-0001-7367-854X
Louise Helena Rodrigues GonçalvesHospital Municipal da Vila Santa Catarina Dr. Gilson de Cássia Marques de Carvalho;São Paulo, SP, Brazil.ORCID 0000-0002-2386-9847
Leonardo Miguel Correa GarciaHospital Moinhos de Vento, Porto Alegre, RS, Brazil.ORCID 0000-0002-5730-3147
Karina Tavares TimenetskyHospital Israelita Albert Einstein, São Paulo, SP, Brazil.ORCID 0000-0002-4176-2445
Luiz Alberto ForgiariniUniversidade Católica de Pelotas - UCPel, Medicine Course, Postgraduate Program in Health and Behavior, Pelotas, RS, Brazil.ORCID 0000-0002-6706-2703

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The use of instruments in clinical practice with measurement properties tested is highly recommended, in order to provide adequate assessment and measurement of outcomes. Objective: To calculate the minimum clinically important difference (MCID) and responsiveness of the Perme Intensive Care Unit Mobility Score (Perme Score). Methods: This retrospective, multicentric study investigated the clinimetric properties of MCID, estimated by constructing the Receiver Operating Characteristic (ROC). Maximizing sensitivity and specificity by Youden's, the ROC curve calibration was performed by the Hosmer and Lemeshow goodness-of-fit test. Additionally, we established the responsiveness, floor and ceiling effects, internal consistency, and predictive validity of the Perme Score. Results: A total of 1.200 adult patients records from four mixed general intensive care units (ICUs) were included. To analyze which difference clinically reflects a relevant evolution we calculated the area under the curve (AUC) of 0.96 (95% CI: 0.95-0.98), and the optimal cut-off value of 7.0 points was established. No substantial floor (8.8%) or ceiling effects (4.9%) were observed at ICU discharge. However, a moderate floor effect was observed at ICU admission (19.3%), in contrast to a very low incidence of ceiling effect (0.6%). The Perme Score at ICU admission was associated with hospital mortality, OR 0.86 (95% CI: 0.82-0.91), and the predictive validity for ICU stay presented a mean ratio of 0.97 (95% CI: 0.96-0.98). Conclusion: Our findings support the establishment of the minimum clinically important difference and responsiveness of the Perme Score as a measure of mobility status in the ICU.

Indexed as

Intensive Care UnitsAdultHumansRetrospective StudiesROC CurveCalibrationclinimetric propertiesHealth CareIntensive care unitOutcome Assessmentoutcome measuresrehabilitationROC Curve

Identifiers

PMID38089826
PMCPMC10714681

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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.