Evidence map›Paper›PMID 35822094›Full record

ArticleJIMD reports2022

Association of alkaptonuria and low dose nitisinone therapy with cataract formation in a large cohort of patients.

Mohammad S Z Ahmad, Mahmoud Ahmed, Milad Khedr, Alfredo Borgia, Andrea Madden, Lakshminarayan R Ranganath, Stephen Kaye

Open access · goldAbstract read
In one paragraph

Article in JIMD reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.1field-weighted citation impact, top 25% 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

9 citing papers in PubMed, 9 citations in OpenAlex.

  1. Trial
  2. Article
  3. Alkaptonuria.Nature reviews. Disease primers · 2024
    Review
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. 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 S Z AhmadDepartment of Ophthalmology Royal Liverpool University Hospital Liverpool UK.ORCID https://orcid.org/0000-0002-5972-0358
Mahmoud AhmedDepartment of Ophthalmology Royal Liverpool University Hospital Liverpool UK.
Milad KhedrClinical Biochemistry and Metabolic Medicine Royal Liverpool University Hospital Liverpool UK.
Alfredo BorgiaDepartment of Ophthalmology Royal Liverpool University Hospital Liverpool UK.
Andrea MaddenDepartment of Ophthalmology Royal Liverpool University Hospital Liverpool UK.
Lakshminarayan R RanganathClinical Biochemistry and Metabolic Medicine Royal Liverpool University Hospital Liverpool UK.
Stephen KayeDepartment of Ophthalmology Royal Liverpool University Hospital Liverpool UK.
University of Liverpool · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Homogentisic acid (HGA) lowering, disease modifying off-label nitisinone therapy has been used in the United Kingdom National Alkaptonuria Centre (NAC) since 2012. This study evaluated the serendipitous observation of cataract in a large cohort of patients with the very rare disease alkaptonuria (AKU), over a 5-year period. Patients with AKU who attended the NAC since 2012. Standard physical examination and ocular assessment, including photographs of the crystalline lens were taken before commencement of nitisinone 2 mg daily and annually over 5 years. Photographs were randomised and graded by two independent observers using the WHO cataract classification. AKU patients who did not receive nitisinone were included as a control group. HGA was measured on acidified 24 h urine (u-HGA

Indexed as

alkaptonuriacataracthomogentisic acidnitisinoneprevalencetyrosine

Identifiers

PMID35822094
PMCPMC9259401
OpenAlexW4224255472

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.