Evidence map›Paper›PMID 38694340›Full record

ArticleAnnals of medicine and surgery (2012)2024

A shocking intraoperatively diagnosis of ochronotic knee arthropathy: a case report.

Mohammad Nour Shashaa, Mohamad Shadi Alkarrash, Yusuf Alhasan, Saad Allah Kabbany, Vairy Rezkallah, Alaa Alhamr, M Maher Al-Araje

Open access · diamondAbstract readCase Reports
In one paragraph

Article in Annals of medicine and surgery (2012), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact, top 99% 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

1 citing paper in PubMed, 0 citations in OpenAlex.

  1. 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

7 authors at 1 institution in 1 country.

Mohammad Nour ShashaaDepartments ofOrthopedic and Traumatic Surgery.
Mohamad Shadi AlkarrashFaculty of Medicine, University of Aleppo, Aleppo, Syria.
Yusuf AlhasanDepartments ofOrthopedic and Traumatic Surgery.
Saad Allah KabbanyDepartments ofOrthopedic and Traumatic Surgery.
Vairy RezkallahPathology, Aleppo University Hospital.
Alaa AlhamrDepartments ofOrthopedic and Traumatic Surgery.
M Maher Al-ArajeDepartments ofOrthopedic and Traumatic Surgery.
University of Aleppo · SY

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Alkaptonuria is an autosomal extremely rare recessive metabolic disorder with incidence reported to occur as 1:100 000-1:250 000 live births worldwide. This rare metabolic disorder is characterized by the accumulation of homogentisic acid due to a deficiency in homogentisic acid 1,2 dioxygenase. Homogentisic acid subsequently oxidizes and accumulates in the connective tissue. The knee is the most significant peripheral joint to be affected by the disorder. The authors present the first case of ochronotic arthropathy in Syria. Case presentation: A 46-year-old male presented with bilateral pain in the knees. the pain was affecting his day-to-day activities, and not responding to conservative management. Anteroposterior standing radiographs demonstrated extensive degenerative disease. Intraoperatively, the diagnosis was done after noticing that the quadriceps tendon and the articular cartilage of the femur, tibia, and patella were blackened during cemented total knee replacement of the knee. Conclusion: Ochronotic arthropathy should be kept in mind in middle age patients with severe osteoarthritis to not be surprised by the rare alkaptonuria diagnosis if arthroplasty was indicated.

Indexed as

Alkaptonuriaarthropathykneeochronosisosteoarthritis

Identifiers

PMID38694340
PMCPMC11060223
OpenAlexW4391260592

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.