Evidence map›Paper›PMID 41982535›Full record

ArticleFrontiers in medicine2026

AI-assisted 3D preoperative planning in primary total hip arthroplasty for secondary hip osteoarthritis: etiology-specific perioperative burden and early recovery in DDH versus post-septic sequelae.

Zhenbao Lu, Tihui Wang, Xu Wang, Yuhua Feng, Xiaohong Fan, Qiujin Xia, Jiliang Chen, Hongkuan Lin, Chengshou Lin, Qingshan Xu and 1 more

Abstract read
In one paragraph

Article in Frontiers in medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Zhenbao Lu *Department of Orthopaedics, Affiliated Mindong Hospital, Fujian Medical University, Ningde, Fujian, China.
Tihui Wang *Department of Orthopaedics, Affiliated Mindong Hospital, Fujian Medical University, Ningde, Fujian, China.
Xu WangDepartment of Orthopaedics, Affiliated Mindong Hospital, Fujian Medical University, Ningde, Fujian, China.
Yuhua FengDepartment of Orthopaedics, Affiliated Mindong Hospital, Fujian Medical University, Ningde, Fujian, China.
Xiaohong FanSchool of New Energy and Intelligent Manufacturing, Ningde Vocational and Technical College, Ningde, Fujian, China.
Qiujin XiaDepartment of Orthopaedics, Affiliated Mindong Hospital, Fujian Medical University, Ningde, Fujian, China.
Jiliang ChenDepartment of Orthopaedics, Affiliated Mindong Hospital, Fujian Medical University, Ningde, Fujian, China.
Hongkuan LinDepartment of Orthopaedics, Affiliated Mindong Hospital, Fujian Medical University, Ningde, Fujian, China.
Chengshou LinDepartment of Orthopaedics, Affiliated Mindong Hospital, Fujian Medical University, Ningde, Fujian, China.
Qingshan XuDepartment of Orthopaedics, Affiliated Mindong Hospital, Fujian Medical University, Ningde, Fujian, China.
Qijin WangDepartment of Orthopaedics, Affiliated Mindong Hospital, Fujian Medical University, Ningde, Fujian, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Computed tomography (CT)-based, artificial intelligence (AI)-assisted three-dimensional (3D) preoperative planning is increasingly used to standardize component sizing and positioning in total hip arthroplasty (THA). In complex secondary hip osteoarthritis (HOA), perioperative burden and early recovery are particularly relevant to older or medically complex patients, yet it remains unclear whether etiology still shapes these outcomes under a unified planning pathway and single implant system. Methods: This single-center retrospective cohort analyzed 95 consecutive cementless primary THAs for developmental dysplasia of the hip-associated HOA (DDH-HOA, Results: Planning performance was comparable (cup match 59.62% vs. 65.12%; stem match 61.54% vs. 67.44%), with similar Lewinnek/Callanan safe-zone attainment and a median leg-length discrepancy (LLD) of 1 mm in both groups. Intraoperative blood loss was lower in DDH-HOA than in post-septic HOA (212.69 ± 62.31 vs. 243.72 ± 58.64 mL, Conclusion: Under a unified CT-based AI-assisted 3D planning pathway and single cementless system, sizing concordance and radiographic target attainment were similarly high across etiologies. By 24 months, PROMs were broadly comparable between groups. Post-septic sequelae were associated with greater intraoperative blood loss and less favorable pain and function at 1 month, supporting etiology-informed counseling and targeted perioperative risk mitigation.

Indexed as

3D planningartificial intelligencedevelopmental dysplasia of the hippost-septic hip osteoarthritistotal hip arthroplasty

Identifiers

PMID41982535
PMCPMC13070808

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.