Evidence map›Paper›PMID 36123604›Full record

ArticleBMC ophthalmology2022

Clinical characteristics of glaucoma patients with various risk factors.

Kazuko Omodaka, Tsutomu Kikawa, Sayaka Kabakura, Noriko Himori, Satoru Tsuda, Takahiro Ninomiya, Naoki Takahashi, Kyongsun Pak, Noriyasu Takeda, Masahiro Akiba and 1 more

Open access · goldAbstract read
In one paragraph

Article in BMC ophthalmology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
3.5field-weighted citation impact, top 7% 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

14 citing papers in PubMed, 19 citations in OpenAlex.

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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

11 authors at 3 institutions in 2 countries.

Kazuko OmodakaDepartment of Ophthalmology, Tohoku University, Graduate School of Medicine, Sendai, Japan.
Tsutomu KikawaR and D Division, Topcon Corporation, Tokyo, Japan.
Sayaka KabakuraDepartment of Ophthalmology, Tohoku University, Graduate School of Medicine, Sendai, Japan.
Noriko HimoriDepartment of Ophthalmology, Tohoku University, Graduate School of Medicine, Sendai, Japan.
Satoru TsudaDepartment of Ophthalmology, Tohoku University, Graduate School of Medicine, Sendai, Japan.
Takahiro NinomiyaDepartment of Ophthalmology, Tohoku University, Graduate School of Medicine, Sendai, Japan.
Naoki TakahashiDepartment of Ophthalmology, Tohoku University, Graduate School of Medicine, Sendai, Japan.
Kyongsun PakDivision of Biostatistics, Center for Clinical Research, National Center for Child Health and Development, Tokyo, Japan.
Noriyasu TakedaR and D Division, Topcon Corporation, Tokyo, Japan.
Masahiro AkibaR and D Division, Topcon Corporation, Tokyo, Japan.
Toru NakazawaDepartment of Ophthalmology, Tohoku University, Graduate School of Medicine, Sendai, Japan. ntoru@oph.med.tohoku.ac.jp.
Tohoku University · JPTopcon (Japan) · JPNational Center For Child Health and Development · JP

Funding

AMED JP21ak0101110JSPS KAKENHI Grants-in-Aid for Exploratory Research T.N. 21K19548JSPS KAKENHI Grants-in-Aid for Scientific Research (B) T.N. 20H03838the JST Center for Revitalization Promotion and KAKENHI Grants-in-Aid for Scientific Research (C) K.O. 21K09690
6 · The paper itself

Abstract

backgroundGlaucoma is multifactorial, but the interrelationship between risk factors and structural changes remains unclear. Here, we adjusted for confounding factors in glaucoma patients with differing risk factors, and compared differences in structure and susceptible areas in the optic disc and macula.

methodsIn 458 eyes with glaucoma, we determined confounding factors for intraocular pressure (IOP), central corneal thickness (CCT), axial length (AL), LSFG-measured ocular blood flow (OBF), which was assessed with laser speckle flowgraphy-measured mean blur rate in the tissue area (MT) of the optic nerve head, biological antioxidant potential (BAP), and systemic abnormalities in diastolic blood pressure (dBP). To compensate for measurement bias, we also analyzed corrected IOP (cIOP; corrected for CCT) and corrected MT (cMT; corrected for age, weighted retinal ganglion cell count, and AL). Then, we determined the distribution of these parameters in low-, middle-, and high-value subgroups and compared them with the Kruskal-Wallis test. Pairwise comparisons used the Steel-Dwass test.

resultsThe high-cIOP subgroup had significantly worse mean deviation (MD), temporal, superior, and inferior loss of circumpapillary retinal nerve fiber layer thickness (cpRNFLT), and large cupping. The low-CCT subgroup had temporal cpRNFLT loss; the high-CCT subgroup had low cup volume. The high-AL subgroup had macular ganglion cell complex thickness (GCCT) loss; the low-AL subgroup had temporal cpRNFLT loss. The high-systemic-dBP subgroup had worse MD, total, superior, and inferior cpRNFLT loss and macular GCCT loss. The low-BAP subgroup had more male patients, higher dBP, and cpRNFLT loss in the 10 o'clock area. The high-OBF subgroup had higher total, superior and temporal cpRNFLT and macular GCCT.

conclusionsStructural changes and local susceptibility to glaucomatous damage show unique variations in patients with different risk factors, which might suggest that specific risk factors induce specific types of pathogenesis and corresponding glaucoma phenotypes. Our study may open new avenues for the development of precision medicine for glaucoma.

Indexed as

GlaucomaOptic DiskAntioxidantsHumansMaleRisk FactorsTomography, Optical CoherenceAntioxidantsBlood pressureGlaucomaIndividual treatment for glaucomaOptical coherence tomographyRisk factors

Identifiers

PMID36123604
PMCPMC9484257
OpenAlexW4296347420

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.