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Record W4312065504 · doi:10.1111/iwj.14057

RETRACTED: Effects of breathing exercise techniques on the pain and anxiety of burn patients: A systematic review and meta‐analysis

2022· review· en· W4312065504 on OpenAlexaff
Sahar Miri, Seyed Javad Hosseini, Poorya Takasi, Amirabbas Mollaei, Mahbobeh Firooz, Atefeh Falakdami, Joseph Osuji, Pooyan Ghorbani Vajargah, Samad Karkhah

Post-publication record

NatureRetraction
ReasonConcerns/Issues about Referencing/Attributions;Compromised Peer Review;Investigation by Journal/Publisher;Objections by Author(s);
Date2/25/2025 0:00
Flagged by OpenAlex?Yes

Source: Retraction Watch, joined by DOI. OpenAlex records retraction as is_retracted, a boolean over a state space with at least four values, so it cannot express an expression of concern, a correction or a reinstatement; it reports them as false, which reads as “fine”.

Bibliographic record

VenueInternational Wound Journal · 2022
Typereview
Languageen
FieldMedicine
TopicBurn Injury Management and Outcomes
Canadian institutionsMount Royal University
Fundersnot available
KeywordsMedicineMeta-analysisChecklistAnxietyConfidence intervalPhysical therapyRandomized controlled trialSystematic reviewStrictly standardized mean differenceCritical appraisalWeb of scienceMEDLINEInternal medicineAlternative medicinePsychiatry

Abstract

fetched live from OpenAlex

Abstract This systematic review and meta‐analysis aim to summarise the effect of breathing exercise techniques (BET) on the pain and anxiety of burn patients during burn care. A systematic search was performed on international electronic databases such as Scopus, PubMed, and Web of Science, as well as on Iranian electronic databases such as Iranmedex and Scientific Information Database (SID) with keywords extracted from Medical Subject Headings such as ‘Burns’, ‘Bandages’, ‘Pain’, ‘Pain management’, ‘Anxiety’, ‘Breathing’, and ‘Breathing exercise’, which were performed from the earliest to 4 April 2022. The Joanna Briggs Institute (JBI) critical appraisal checklist assessed the quality of randomised control trials (RCTs) and quasi‐experimental studies. The current meta‐analysis was performed using STATA V.14.0 software. A 95% confidence interval (CI) was used to determine significance levels. Random effect model was used to calculate the weighted mean difference (WMD). A total of 469 burn patients participated in 10 studies. Exactly 58.60% of burn patients were male, and the number of people in the intervention and control groups was equal. The mean age of burn patients was 32.84 (SD = 10.39). Exactly 78.05% of patients had second‐degree burns. The mean study duration was 19 weeks. Results of analysis of RCT studies showed BET decreased insignificantly pain severity (WMD: −1.17, 95%CI: −2.54 to 0.21, Z = 1.66, P = .096, I2:97.1%) in the intervention group than control group. However, the results of non‐RCTs studies indicated BET significantly decreased pain (WMD: −1.38, 95%CI: −2.16 to −0.61, Z = 3.49, P < .001, I2:88.4%) and anxiety (WMD: −4.91, 95%CI: −9.35 to −0.47, Z = 2.71, P = .03 0.001, I2:88.4%) in the intervention group than control group. Overall, the results of RCTs found BET intervention decreased pain in the intervention group when compared with the control group; however, it was statistically insignificant. Also, results of non‐RCT studies showed intervention of BET significantly decreased pain and anxiety in burns patients. More RCTs studies are required for better judgement of the effectiveness of BET intervention in clinical settings.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.014
metaresearch head score (Gemma)0.032
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.017
Threshold uncertainty score0.072

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0140.032
Meta-epidemiology (narrow)0.0030.001
Meta-epidemiology (broad)0.0170.036
Bibliometrics0.0060.005
Science and technology studies0.0010.001
Scholarly communication0.0040.002
Open science0.0020.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0050.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.030
GPT teacher head0.326
Teacher spread0.296 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designMeta-analysis
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations42
Published2022
Admission routes1
Has abstractyes

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