Evidence map›Paper›PMID 34790614›Full record

ArticleJournal of orthopaedic case reports2021

The Black Knee - A Case Report.

Amyn M Rajani, Meenakshi S Punamiya, Miss Khushi A Rajani, Miss Kashish A Rajani

Open access · goldAbstract readCase Reports
In one paragraph

Article in Journal of orthopaedic case reports, 2021. 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
0.1field-weighted citation impact, top 51% 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, 1 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

4 authors at 1 institution in 1 country.

Amyn M RajaniDepartment of Orthopaedic, Orthopaedic Arthroscopy Knee and Shoulder Clinic, 707, Panchshil Plaza, Hughes Road, Mumbai - 400 007, Maharashtra, India.
Meenakshi S PunamiyaDepartment of Orthopaedic, Orthopaedic Arthroscopy Knee and Shoulder Clinic, 707, Panchshil Plaza, Hughes Road, Mumbai - 400 007, Maharashtra, India.
Miss Khushi A RajaniDepartment of Orthopaedic, Orthopaedic Arthroscopy Knee and Shoulder Clinic, 707, Panchshil Plaza, Hughes Road, Mumbai - 400 007, Maharashtra, India.
Miss Kashish A RajaniDepartment of Orthopaedic, Orthopaedic Arthroscopy Knee and Shoulder Clinic, 707, Panchshil Plaza, Hughes Road, Mumbai - 400 007, Maharashtra, India.
Tennessee Orthopaedic Clinics · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionOchronotic arthropathy in patients with alkaptonuria is a rare hereditary disorder. The altered metabolism causes the homogentesic acid derivatives to deposit in various connective tissues causing characteristic pigmentation. Due to the close clinical resemblance to that of a degenerative disorder, diagnosis of ochronotic arthropathy usually occurs intraoperatively. We report arthroscopic findings of a 50-year-old female with ochronotic arthropathy. CASE REPORT: A 50-year-old woman came with complaints of pain and swelling in the left knee. Clinical examination and MRI findings were correlated to reveal a tear of lateral meniscus. On arthroscopic examination, the blackish pigmentation of the meniscus and the articular cartilage led to the diagnosis of ochronotic arthropathy.

conclusionArthroscopy plays an important role in diagnosis and treatment of patients with ochronotic arthropathy. The characteristic arthroscopic finding may aid diagnosis even in patients who do not have other systemic manifestations. Timely arthroscopic intervention can help delay the disease progression.

Indexed as

AlkaptonuriaArthroscopyOchronosisOchronotic arthropathy

Identifiers

PMID34790614
PMCPMC8576775
OpenAlexW3207732889

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.