Evidence map›Paper›PMID 35547344›Full record

ArticleIndian journal of orthopaedics2022

Management of Neglected Patellar Tendon Rupture via the Ilizarov Apparatus and Patellar Transport Following Multistage Reconstruction using Contralateral Patella Tendon Bone Autograft: A Case Study.

Ayed A Alshahrani, Jaya Shanker Tedla, Abdullah Ali Alshehri, Zafer Yousef Abbas

Open access · greenAbstract readCase Reports
In one paragraph

Article in Indian journal of orthopaedics, 2022. 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
0.4field-weighted citation impact, top 46% 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, 2 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

4 authors at 2 institutions in 1 country.

Ayed A AlshahraniDepartment of Orthopedic Surgery, Asir Central Hospital, Abha, Kingdom of Saudi Arabia.
Jaya Shanker TedlaDepartment of Medical Rehabilitation Sciences, College of Applied Medical Sciences, King Khalid University, Guraiger, P. O. Box Number - 3665, Abha, Kingdom of Saudi Arabia.ORCID 0000-0002-2876-4227
Abdullah Ali AlshehriDepartment of Orthopedic Surgery, Asir Central Hospital, Abha, Kingdom of Saudi Arabia.
Zafer Yousef AbbasDepartment of Orthopedic Surgery, Asir Central Hospital, Abha, Kingdom of Saudi Arabia.
Asir Central Hospital · SAKing Khalid University · SA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Muscle elongation by Ilizarov apparatus is one of the most remarkable surgeries performed to date. Chronic patella tendon injury is an uncommon condition, and due to its rarity, it is difficult to operate and restore the quality of life and function of the patient. Here we demonstrated a 40-year-old Saudi person who underwent a three-stage operative procedure on him: in the first stage we entailed debridement and removal of the implant; in the second stage, we performed this innovative Ilizarov muscle elongation of the quadriceps, and in the third stage, we reconstructed the right patellar tendon using a contralateral patella tendon bone autograft fixed by 3.5 screws proximal to the patella and distal to the tibial tuberosity and augmented by cerclage wires. After 3 months of intensive physical therapy, the patient regained his knee's range of motion and muscle strength and was able to return to his security job. Graphical abstract: Supplementary Information: The online version contains supplementary material available at 10.1007/s43465-022-00608-5.

Indexed as

IlizarovPatella tendon rupturePatella transport

Identifiers

PMID35547344
PMCPMC9043083
OpenAlexW4212991063

What OpenQuestion holds

Textmetadata
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.