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Record W4293695310 · doi:10.1155/2022/7256664

Meta‐analysis of the Efficacy of the Anatomical Center and High Hip Center Techniques in the Treatment of Adult Developmental Dysplasia of the Hip

2022· review· en· W4293695310 on OpenAlexaboutno aff
Chen Wu, Guoyin Shu, Xiaowei Xie, Xin Yuan, Shirong Chen

Bibliographic record

VenueBioMed Research International · 2022
Typereview
Languageen
FieldMedicine
TopicOrthopaedic implants and arthroplasty
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineCochrane LibraryAcetabulumRetrospective cohort studyCohort studyProspective cohort studySingle CenterSurgeryHarris Hip ScoreMeta-analysisRandomized controlled trialArthroplastyInternal medicine

Abstract

fetched live from OpenAlex

Background . In total hip arthroplasty for the treatment of adult developmental dysplasia of the hip, there is considerable controversy regarding the placement of the acetabular cup, anatomic center, and upward in acetabular reconstruction. This article explores the efficacy of the anatomical center technique and high hip center technique in the treatment of adult developmental dysplasia of the hip. Method . By searching for articles in the Cochrane Library, PubMed, CNKI, and Wanfang databases, we collected the literature on the treatment of adult developmental dysplasia of the hip by anatomical center and high hip center technology and screened the literature according to the inclusion and exclusion criteria. The Cochrane risk of bias assessment tool was used to assess the risk of bias of randomized controlled trials, the quality of the literature in retrospective cohort studies was assessed using the Newcastle–Ottawa scale, and the RevMan 5.4 software was used to analyze the extracted outcome indicators. Results . Nine studies were finally included, including one prospective cohort study, eight retrospective cohort studies, two high‐quality studies, and six moderate‐quality studies. The meta‐analysis results showed that the reconstruction of the acetabulum in two positions was significantly different in terms of operation time (WMD = −37, 95% CI: ‐45.25‐28.74, P < 0.00001), intraoperative blood loss (WMD = −91.88, 95% CI: ‐108.57‐75.19, P < 0.00001), postoperative drainage volume (WMD = 80.55, 95% CI: ‐140.56‐301.66, P = 0.48), time to ground (WMD = −0.68, 95% CI: ‐1.37‐0.0, P = 0.05), Harris score (WMD = −0.04, 95% CI: ‐0.91‐0.82, P = 0.92), lower limb length difference (WMD = 0.21, 95% CI: ‐0.22‐0.64, P = 0.33), WOMAC score (WMD = −1.24, 95% CI: ‐4.89‐2.41, P = 0.51), postoperative complications (RD = −0.02, 95% CI: ‐0.06‐0.02, P = 0.44), Trendelenburg sign (RD = −0.02, 95% CI: ‐0.02‐0.05, P = 0.31), limb lengthening (WMD = 0.85, 95% CI: 0.61‐1.09, P < 0.00001), prosthesis wear (WMD = 0.01, 95% CI: 0‐0.02, P = 0.17), and prosthesis loosening (RD = 0.01, 95% CI: ‐0.02‐0.04, P = 0.45). Conclusions . The high hip center technique can reduce operative time, intraoperative blood loss, and downtime. The anatomical center technique is superior to the high hip center technique in terms of limb lengthening. Compared with acetabular anatomical reconstruction, there was no significant difference in postoperative drainage, lower limb length difference, postoperative complications, Trendelenburg sign, and prosthesis survival or wear. For DDH patients who are not severely shortened in the lower limbs and have severe acetabular bone defects, joint surgeons can choose to reconstruct the acetabulum in the upper part to simplify the operation, reduce the trauma of the patient, and accelerate the recovery of the patient, and they can choose to adjust the length of the neck and the angle of the neck shaft to maintain the moment arm of the abductor muscle. A ceramic interface or a highly cross‐linked polyethylene interface minimizes the effect of hip response forces. To further evaluate the efficacy of the anatomical center technique and the high hip center technique in the treatment of adult developmental dysplasia of the hip, more large‐sample, high‐quality, long‐term follow‐up randomized controlled trials are still needed for verification.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.946
Threshold uncertainty score0.567

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
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 head0.142
GPT teacher head0.412
Teacher spread0.270 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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".

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Citations6
Published2022
Admission routes1
Has abstractyes

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