Evidence map›Paper›PMID 37795146›Full record

ArticleFrontiers in surgery2023

Artificial intelligence planning and 3D printing augmented modules in the treatment of a complicated hip joint revision: a case report.

Yikai Liu, Zian Zhang, Wenzhe Wang, Chaoqun Yu, Chang Liu, Zhenchao Huang, Kaige Xu, Haining Zhang

Open access · goldAbstract readCase Reports
In one paragraph

Article in Frontiers in surgery, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.3field-weighted citation impact, top 38% of its field
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

3 citing papers in PubMed, 1 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
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 at 2 institutions in 1 country.

Yikai LiuDepartment of Joint Surgery, The Affiliated Hospital of Qingdao University, Qingdao, China.
Zian ZhangDepartment of Joint Surgery, The Affiliated Hospital of Qingdao University, Qingdao, China.
Wenzhe WangDepartment of Joint Surgery, The Affiliated Hospital of Qingdao University, Qingdao, China.
Chaoqun YuDepartment of Joint Surgery, The Affiliated Hospital of Qingdao University, Qingdao, China.
Chang LiuDepartment of Joint Surgery, The Affiliated Hospital of Qingdao University, Qingdao, China.
Zhenchao HuangDepartment of Joint Surgery, The Affiliated Hospital of Qingdao University, Qingdao, China.
Kaige XuDepartment of Joint Surgery, The Affiliated Hospital of Qingdao University, Qingdao, China.
Haining ZhangDepartment of Joint Surgery, The Affiliated Hospital of Qingdao University, Qingdao, China.
Affiliated Hospital of Qingdao University · CNQingdao University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Total hip revision with osseous defects can be very difficult. Artificial intelligence offers preoperative planning, real-time measurement, and intraoperative judgment, which can guide prothesis placement more accurately. Three-dimensional printed metel augment modules which are made according to the individualized osseous anatomy, can fit the osseous defects well and provide mechanical support. In this case, we used AI to plan the size and position of the acetabular cup and 3D-printed augmented modules in a complicated hip revision with an acetabular bone defects, which achieved stable fixation and relieved hip pain postoperatively.

Indexed as

artificial intelligence planningosseous defectdefectsthree-dimensional printingtotal hip arthroplastytotal hip revision

Identifiers

PMID37795146
PMCPMC10546305
OpenAlexW4386895796

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.