Evidence map›Paper›PMID 37434720›Full record

ArticleJournal of surgical case reports2023

Robotic-assisted total knee arthroplasty for extra-articular femur deformity correction.

Abdullah A Alturki, Nayf A Alshammari, Abdulrahman L Albassam, Ziad A Aljaafri, Turki S Almugren

Open access · goldAbstract readCase Reports
In one paragraph

Article in Journal of surgical case reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.3field-weighted citation impact, top 20% 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

7 citing papers in PubMed, 4 citations in OpenAlex.

  1. Review
  2. Review
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  4. [Early effectiveness of navigation-free robot-assisted total knee arthroplasty in treating knee osteoarthritis with extra-articular deformities].Zhongguo xiu fu chong jian wai ke za zhi = Zhongguo xiufu chongjian waike zazhi = Chinese journal of reparative and reconstructive surgery · 2025
    Article
  5. Review
  6. Review
  7. 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

5 authors at 2 institutions in 1 country.

Abdullah A AlturkiDepartment of Orthopedic Surgery, Ministry of the National Guard-Health Affairs, Riyadh, Saudi Arabia.
Nayf A AlshammariDepartment of Orthopedic Surgery, AlHabib Hospital, Riyadh, Saudi Arabia.
Abdulrahman L AlbassamCollege of Medicine, King Saud Bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia.
Ziad A AljaafriCollege of Medicine, King Saud Bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia.ORCID https://orcid.org/0009-0006-8287-9064
Turki S AlmugrenDepartment of Orthopedic Surgery, Ministry of the National Guard-Health Affairs, Riyadh, Saudi Arabia.
King Saud bin Abdulaziz University for Health Sciences · SANational Guard Health Affairs · SA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Femoral shaft fracture is one of the most common injuries encountered. However, improper management can lead to significant long-term complications, of which is malunion. Patients with femoral malunion are at increased risk of developing knee osteoarthritis, and if arthroplasty is indicated, these extra-articular deformities pose a challenge as corrective osteotomy and soft tissue release are also required. In such circumstances, robotic arm-assisted total knee arthroplasty (RATKA) might be an appropriate option. In this case, we present a 66-year-old woman who had previously suffered a femur shaft fracture, which was treated conservatively, and developed a varus malunion and severe knee osteoarthritis, and who was treated with RATKA.

Identifiers

PMID37434720
PMCPMC10331803
OpenAlexW4383720940

What OpenQuestion holds

Textmetadata
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.