Evidence map›Paper›PMID 30255792›Full record

ArticleBMC ophthalmology2018

A long history of dense deposit disease.

Alan Cunningham, Ajay Kotagiri

Open access · goldAbstract readCase Reports
In one paragraph

Article in BMC ophthalmology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-weighted citation impact, top 35% 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

2 citing papers in PubMed, 6 citations in OpenAlex.

  1. Review
  2. 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

2 authors at 1 institution in 1 country.

Alan CunninghamSunderland Eye Infirmary, Queen Alexandra Road, Sunderland, UK. alan@neast.org.uk.
Ajay KotagiriSunderland Eye Infirmary, Queen Alexandra Road, Sunderland, UK.
Sunderland Eye Infirmary · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDense Deposit Disease is a rare condition affecting the Bruch's membrane and the glomerular basement membrane. We report the progression of the ocular manifestations over a 30 year follow up period, longer than any previous report. CASE PRESENTATION: A 44 year old male presented with pigmentary changes at the macula noted by his optician. Best corrected visual acuity at presentation was good in both eyes. Fundoscopy showed pigmentary changes and drusen, and investigation using intravenous fundus fluorescein angiography did not demonstrate any choroidal neovascular membrane. The patient subsequently developed renal failure and received a dual renal transplant. The transplanted kidneys also failed over the coming year. The patient's vision gradually deteriorated and comparison between the images in 2010 and 1985 demonstrated a clear progression of the macula changes. Optical coherence tomography showed multiple subretinal hyper reflective drusenoid deposits. These deposits were also noted to be autofluorescent on blue auto-fluorescence. The young age at presentation of drusen, combined with the history of recurrent kidney failure and progression of subretinal deposits led to a diagnosis of dense deposit disease.

conclusionsDense deposit disease is a rare condition affecting Bruch's membrane, but should be considered in the differential diagnosis of any patient under the age of 50 years presenting with drusen.

Indexed as

AgedBruch MembraneFluorescein AngiographyFollow-Up StudiesGlomerulonephritis, MembranoproliferativeGraft RejectionHumansKidney TransplantationMaleRetinal DrusenTomography, Optical CoherenceVisual AcuityDense deposit diseaseKidney failureMesangiocapillary glomerulonephritisMPGNRetinal drusen

Identifiers

PMID30255792
PMCPMC6157191
OpenAlexW2889617310

What OpenQuestion holds

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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.