Evidence map›Paper›PMID 39920717›Full record

ArticleBMC surgery2025

Efficacy of an artificial intelligence preoperative planning system for assisting in revision surgery after artificial total hip arthroplasty.

Jiaqing Zhu, Shanbin Zheng, Jiahao Sun, Bowen Ma, Chiyu Zhang, Chao Zhang, Jirong Shen, Tianwei Xia

Abstract read
In one paragraph

Article in BMC surgery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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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

5 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
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  5. AI-assisted direct anterior approachFrontiers in bioengineering and biotechnology · 2025
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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

8 authors.

Jiaqing ZhuDepartment of Orthopedics and Traumatology, Affiliated Hospital of Nanjing University of Traditional Chinese Medicine, Nanjing, 210029, China. 782282459@qq.com.
Shanbin Zheng *Department of Orthopedics and Traumatology, Affiliated Hospital of Nanjing University of Traditional Chinese Medicine, Nanjing, 210029, China.
Jiahao SunDepartment of Orthopedics and Traumatology, Affiliated Hospital of Nanjing University of Traditional Chinese Medicine, Nanjing, 210029, China.
Bowen MaDepartment of Orthopedics and Traumatology, Affiliated Hospital of Nanjing University of Traditional Chinese Medicine, Nanjing, 210029, China.
Chiyu ZhangDepartment of Orthopedics and Traumatology, Affiliated Hospital of Nanjing University of Traditional Chinese Medicine, Nanjing, 210029, China.
Chao ZhangDepartment of Orthopedics and Traumatology, Affiliated Hospital of Nanjing University of Traditional Chinese Medicine, Nanjing, 210029, China.
Jirong Shen *Department of Orthopedics and Traumatology, Affiliated Hospital of Nanjing University of Traditional Chinese Medicine, Nanjing, 210029, China. joint66118@sina.com.
Tianwei Xia *Department of Orthopedics and Traumatology, Affiliated Hospital of Nanjing University of Traditional Chinese Medicine, Nanjing, 210029, China. 1263638610@qq.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo explore the early efficacy of an artificial intelligence preoperative planning system (AIHIP system) for assisting in hip revision surgery.

methodsThe clinical data of 25 patients (26 hips) who underwent hip revision between June 2019 and December 2023 and who met the selection criteria were retrospectively analyzed. There were 13 males and 12 females; the ages ranged from 44 to 90 years, with a mean of 69.1 years. The patients' replacement of prosthesis model, operation time, hospitalization time, postoperative time out of bed, etc., as well as the occurrence of adverse events such as postoperative infection, fracture, and loosening of the prosthesis were recorded. The Harris Hip score (HHS) was used to evaluate the function of the affected limbs preoperatively, and 1 week and 6 months postoperatively, and hip mobility was compared preoperatively and 6 months postoperatively.

resultsAll 25 patients were followed up for 6 to 59 months, with an average of 25.3 months. Except for one patient who developed a thigh hematoma (treated with incision and drainage and decompression) and hip dislocation in one hip (repaired), the remaining patients experienced no adverse events such as loosening of the prosthesis or infection. The postoperative acetabular cup type matching degree completely matched 25 hips, not matching 1 hip (+ 2 number), for a matching rate of 96.15%; the femoral stem type matching degree completely matched 25 hips, generally matching 1 hip (-1 number), for a matching rate of 100%. The Harris scores were 54.7 ± 9.6 and 89.6 ± 7.0 at 1 week and 6 months after surgery, respectively, which were significantly improved (P < 0.05) compared with the preoperative scores of 33.5 ± 8.3, and further improved at 6 months after surgery compared with the 1-week period (P < 0.05). The patients' hip function was evaluated according to the Harris score at 6 months after surgery, and they were assigned to 23 good hips and 3 medium hips, which could satisfy daily life needs. Hip mobility at 6 months after surgery was 111.15 ± 9.72°, and the difference was statistically significant compared with the preoperative value of 79.42 ± 17.51° (t = -8.077, P < 0.001).

conclusionAIHIP system-assisted treatment of THA postoperative revision patients can improve the precision of revision surgery, and reduce the difficulty of surgery, in patients with good postoperative recovery and satisfactory early outcomes.

Indexed as

Arthroplasty, Replacement, HipArtificial IntelligencePreoperative CareReoperationAdultAgedAged, 80 and overFemaleHip ProsthesisHumansMaleMiddle AgedRetrospective StudiesArtificial intelligencePreoperative planningRevision surgeryTotal hip arthroplasty

Identifiers

PMID39920717
PMCPMC11804043

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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.