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Record W2468805466

Clinical and surgical aspects of treatment of degenerative and traumatic rotator cuff tears

2016· dissertation· en· W2468805466 on OpenAlexaboutno aff
Soheila Zhaeentan

Bibliographic record

VenueFigshare · 2016
Typedissertation
Languageen
FieldMedicine
TopicShoulder Injury and Treatment
Canadian institutionsnot available
Fundersnot available
KeywordsRotator cuffTearsMedicineSurgery
DOInot available

Abstract

fetched live from OpenAlex

Pain caused by rotator cuff pathology or tear is a major source of discomfort and dysfunction in the shoulder joint. The prevalence of rotator cuff tear increases with age and also as the workforce becomes older. The number of otherwise healthy elderly individuals with high demands on functionality and quality of life in the society is also increasing. A successful rotator cuff repair leads to a good shoulder function, and excellent patient satisfaction however, the failure rate is still considerably high, especially in multi tendon and chronic tears in the elderly, despite the advances in surgical techniques. The overall aim of this thesis was to study factors, which might improve the result of surgical treatment. Study 1) The purpose of this retrospective cohort study was to investigate the result of surgery after traumatic rotator cuff tear regarding the time delay to surgery after injury. Seventy-three patients (75 shoulders) were retrospectively examined with Magnetic Resonance Imaging (MRI) and functional outcomes at least one year after the surgery. The results were compared in patients who had surgery earlier or later than three months after their injury. No significant difference was found between the groups. The conclusion was that if repair was possible the timing should not impact surgical decision. Study 2) The aim of this validation of outcomes instruments study was to validate the Swedish version of the Western Ontario Rotator Cuff index (WORC) in evaluation of treatment outcome for subacromial disease including rotator cuff tears. In total, 114 patients were included prospectively in this study. The WORC was tested against WOOS, Oxford Shoulder Score, Constant-Murley Score and EQ-5D. The results showed that the Swedish version of WORC was valid, reliable and responsive in evaluation of this group of patients. Study 3) The purpose of this retrospective cohort study was to find factors on preoperative MRI prior to rotator cuff surgery, which might predict the outcome. In this study sixty-two pre- and postoperative MRI were compared. The results showed that preoperative tendon retraction of more than 40 mm, muscle atrophy according to Goutallier classification grade 3- 4 might predict a worse surgical outcome, with a fivefold increase in the risk for a re-rupture. A prevention of progression of muscle atrophy and fatty degeneration was found in the successfully repaired shoulders but also an improvement in 8-11% of all the cases. This result favors surgery when a repair is technically possible. Study 4) The aim of this prospective randomized controlled patient-blinded clinical trial with including fifty-eight patients was to investigate whether a synthetic patch might improve the result after rotator cuff surgery. In half of the cases the repair was augmented with a synthetic patch, Artelon®. Assessment was made by serial ultrasound during the first three months post-surgery. There were no differences identified in any of the outcome measures including functional scores and MRI at 12 months follow-up. Based on this result we would not recommend the routine use of a synthetic patch in cuff repair. However, the use of Artelon® was safe and leads to good function and patient satisfaction comparable to the conventional repair. The results out of this thesis support the fact that the timing after traumatic rotator cuff tears is not a considerable factor in decision-making regarding surgical repair. The Swedish version of WORC is reliable and useful in assessing the outcome in subacromial disease including rotator cuff tears. There are findings on preoperative MRI that may predict the result of surgery in rotator cuff repair. The use of Artelon®, a synthetic patch augmentation, in rotator cuff repair is safe but not superior to traditional repair. List of scientific papers I. Similar results comparing early and late surgery in open repair of traumatic rotator cuff tears Soheila Zhaeentan, Anders Von Heijne, Elisabet Hagert, André Stark, Björn Salomonsson, Knee Surg Sports Traumatology Arthrosc. 2015-Nov 12 [E-publication ahead of print] https://doi.org/10.1007/s00167-015-3840-0 II. A validation of the Swedish version of the WORC index in the assessment of patients treated by surgery for subacromial disease including rotator cuff syndrome Soheila Zhaeentan, Markus Legeby, Susanne Ahlström, André Stark, Björn Salomonsson, BMC Musculuskeletal Disordorders, 2016, Apr 14;17(1):165. https://doi.org/10.1186/s12891-016-1014-y III. Preoperative MRI-findings indicate the clinical outcome after rotator cuff surgery, a retrospective study of 62 patients Soheila Zhaeentan, Anders Von Heijne, Björn Salomonsson. [Manuscript] IV. Reinforcement with a synthetic patch in rotator cuff surgery fails to improve postoperative cuff integrity and clinical outcomes. A randomized patient blinded controlled study on 58 patients with 12 months follow-up Soheila Zhaeentan, Anders Von Heijne, Anders Elvin, Shwan Khoschnau, Hans Rahme, Björn Salomonsson. [Manuscript]

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)0.001
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.083
GPT teacher head0.400
Teacher spread0.317 · 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 designObservational
Domainnot available
GenreEmpirical

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

Citations0
Published2016
Admission routes1
Has abstractyes

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