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Record W4410049529 · doi:10.1007/s12178-025-09975-6

Failure of Split Posterior Tibial Tendon Transfer in Cerebral Palsy Complex Foot Deformities: A Review of Failure Definitions and Risk Factors for Failure

2025· review· en· W4410049529 on OpenAlexaff
Hussein Hashem, J. Hayek, Hassan Abou Adma, Karim Gaber, Waleed Kishta

Bibliographic record

VenueCurrent Reviews in Musculoskeletal Medicine · 2025
Typereview
Languageen
FieldMedicine
TopicCerebral Palsy and Movement Disorders
Canadian institutionsMcMaster University
Fundersnot available
KeywordsMedicineCerebral palsyOrthopedic surgerySpasticitySports medicinePhysical therapyDeformitySurgeryPhysical medicine and rehabilitation

Abstract

fetched live from OpenAlex

PURPOSE OF REVIEW: This review examines variability in failure and recurrence rates following split posterior tibial tendon transfer (SPOTT) for spastic equinovarus deformity (SED) in children with cerebral palsy (CP). It evaluates patient-specific and surgical risk factors contributing to poor outcomes and assesses the inconsistent definitions of failure across the literature. RECENT FINDINGS: Across the seven included studies, failure was more common in patients under the age of 8, non-ambulatory individuals, and those with quadriplegic CP. Surgical contributors included poor tendon tensioning, residual spasticity, over- or under-correction, and untreated bony deformities. Although modified techniques demonstrated improved outcomes, the risk of recurrence was not completely eliminated. All studies consistently lacked standardized definitions of surgical failure and recurrence, limiting cross-study comparability. Postoperative management strategies-particularly structured bracing protocols and delaying surgery until after age 8-were associated with more favorable outcomes. SPOTT remains a viable surgical option for dynamic SED in children with CP, but long-term success is highly dependent on careful patient selection, surgical expertise, and consistent postoperative care. Inconsistent definitions of recurrence and failure remain a major barrier to improving clinical outcomes and conducting meaningful comparative research. To enhance clinical decision-making and guide future studies, a standardized grading system should be urgently developed and adopted in the field.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesMeta-epidemiology (narrow)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.530
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0100.002
Bibliometrics0.0010.002
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.073
GPT teacher head0.367
Teacher spread0.295 · 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; both teacher heads agree on what is shown here.

Study designSystematic review
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

Citations1
Published2025
Admission routes1
Has abstractyes

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