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Record W4317690156 · doi:10.1111/iwj.14089

RETRACTED: Effects of massage therapy on pain and anxiety intensity in patients with burns: A systematic review and meta‐analysis

2023· review· en· W4317690156 on OpenAlexaff
Sahar Miri, Seyed Javad Hosseini, Pooyan Ghorbani Vajargah, Mahbobeh Firooz, Poorya Takasi, Amirabbas Mollaei, Shahin Ramezani, Mohammad Tolouei, Amir Emami Zeydi, Joseph Osuji, Ramyar Farzan, Samad Karkhah

Post-publication record

NatureRetraction
ReasonConcerns/Issues about Referencing/Attributions;Compromised Peer Review;Investigation by Journal/Publisher;Investigation by Third Party;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 · 2023
Typereview
Languageen
FieldMedicine
TopicBurn Injury Management and Outcomes
Canadian institutionsMount Royal University
Fundersnot available
KeywordsMedicineMassageMeta-analysisAnxietyPhysical therapyInternal medicineAlternative medicinePsychiatryPathology

Abstract

fetched live from OpenAlex

Abstract This systematic review and meta‐analysis aimed to examine the effects of massage therapy on pain and anxiety intensity in patients with burns. A comprehensive, systematic search was conducted in various international electronic databases, such as Scopus, PubMed, Web of Science, and Persian electronic databases such as Iranmedex, and Scientific Information Database using keywords extracted from Medical Subject Headings such as ‘Massage therapy’, ‘Musculoskeletal manipulations’, ‘Acute pains’, ‘Burning pain’, and ‘Burn’ from the earliest to October 17, 2022. Cochran's tool is used to check the risk of bias for randomised clinical trial (RCT) articles. The methodological index for non‐randomised studies was used to assess the risk of bias in quasi‐experimental studies. STATA version 14 software was used to perform the meta‐analysis. A 95% confidence interval (CI) was used to determine statistical significance. Heterogeneity was investigated with I2. A P‐value less than .1 was considered statistically significant for publication bias value. A total of 733 patients with burns were included in seven studies. Five studies had an RCT design and two studies had a quasi‐experimental design. The duration of the study was reported in five studies, with a mean of 42.40 weeks. The duration of the intervention was reported in seven studies with a mean of 22.86 minutes. The results of the meta‐analysis showed using various types of massage therapy interventions significantly reduced pain intensity in the intervention group compared with the control group (weighted mean difference: −2.08, 95% CI: −2.55 to −1.62, Z = 8.77, I2: 67.1%, P < .001). Massage therapy intervention significantly reduced the intensity of anxiety in burn patients (standard mean difference: −7.07, 95% CI: −10.13 to −4.01, Z = 4.53, I2: 98.2, P < .001). Overall, the present systematic review and meta‐analysis showed that massage therapy can reduce the intensity of pain and anxiety in burn patients. Therefore, it is recommended that health managers and policymakers pay special attention to massage therapy as a simple, low‐cost, and efficient non‐pharmacological treatment to relieve pain and anxiety in burn patients.

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)0.030
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesResearch integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.998
Threshold uncertainty score0.075

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0140.030
Meta-epidemiology (narrow)0.0030.001
Meta-epidemiology (broad)0.0190.040
Bibliometrics0.0070.006
Science and technology studies0.0010.001
Scholarly communication0.0040.002
Open science0.0020.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0040.000

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 head0.037
GPT teacher head0.328
Teacher spread0.291 · 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.

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

Citations48
Published2023
Admission routes1
Has abstractyes

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