Evidence map›Paper›PMID 38389589›Full record

ArticleCureus2024

Assessment of Dyspnea in Critically Ill Patients: A Comparative Analysis of Evaluation Scales.

Gen Aikawa, Ryota Imanaka, Hideaki Sakuramoto, Chie Hatozaki, Takeshi Unoki, Saiko Okamoto

Open access · diamondAbstract read
In one paragraph

Article in Cureus, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
1.7field-weighted citation impact, top 17% 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

0 citing papers in PubMed, 4 citations in OpenAlex.

No citing paper in PubMed yet.

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 1 country.

Gen AikawaCollege of Nursing, Ibaraki Christian University, Hitachi, JPN.
Ryota ImanakaDepartment of Nursing, Kyorin University Hospital, Mitaka, JPN.
Hideaki SakuramotoDepartment of Critical Care and Disaster Nursing, Japanese Red Cross Kyushu International College of Nursing, Munakata, JPN.
Chie HatozakiDepartment of Nursing, University of Tsukuba Hospital, Tsukuba, JPN.
Takeshi UnokiSchool of Nursing, Sapporo City University, Sapporo, JPN.
Saiko OkamotoDepartment of Nursing, Hitachi General Hospital, Hitachi, JPN.
Kyorin University Hospital · JPIbaraki Christian University · JPJapanese Red Cross Kyushu International College of Nursing · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose This study aimed to evaluate the Respiratory Distress Observation Scale (RDOS), Intensive Care RDOS (IC-RDOS), and Mechanical Ventilation RDOS (MV-RDOS) as potential markers of dyspnea in ICU patients by describing their relationship with the Dyspnea Visual Analog Scale (D-VAS). Materials and methods A researcher and a trained nurse independently assessed ICU patients simultaneously. One researcher assessed the RDOS (IC/MV-RDOS) and the depth of sedation. An objective evaluation using the observational D-VAS was simultaneously performed by a trained nurse. Results The correlation coefficients for each scale were 0.338 for the D-VAS and RDOS, 0.239 for the IC-RDOS, and 0.237 for the MV-RDOS, indicating a low correlation. The prediction of self-reported dyspnea showed that each scale's area under the curve (AUC) as a predictor of D-VAS ≥4 was 0.79 (95% Confidence Interval [CI] 0.71-0.87) for RDOS, 0.77 (95% CI 0.68-0.84) for IC-RDOS, and 0.73 (95% CI 0.64-0.81) for MV-RDOS. Conclusions The objective rating scales RDOS, IC-RDOS, and MV-RDOS can predict subjective dyspnea to a certain extent; however, they have limitations in accurately discriminating dyspnea intensity.

Indexed as

assessment tooldyspneaintensive caremechanical ventilationrespiratory distress observation scale

Identifiers

PMID38389589
PMCPMC10881446
OpenAlexW4391115172

What OpenQuestion holds

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Registered trials

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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.