Evidence map›Paper›PMID 37864634›Full record

ArticleGraefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie2024

The association between intraocular pressure dynamics during dark-room prone testing and intraocular pressure over a relatively long-term follow-up period in primary open-glaucoma patients.

Masataka Sato, Naoki Kiyota, Takeshi Yabana, Shigeto Maekawa, Satoru Tsuda, Kazuko Omodaka, Noriko Himori, Yu Yokoyama, Toru Nakazawa

Abstract read
In one paragraph

Article in Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
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

9 authors.

Masataka SatoDepartment of Ophthalmology, Tohoku University Graduate School of Medicine, Miyagi, Japan.
Naoki KiyotaDepartment of Ophthalmology, Tohoku University Graduate School of Medicine, Miyagi, Japan.
Takeshi YabanaDepartment of Ophthalmology, Tohoku University Graduate School of Medicine, Miyagi, Japan.
Shigeto MaekawaDepartment of Ophthalmology, Tohoku University Graduate School of Medicine, Miyagi, Japan.
Satoru TsudaDepartment of Ophthalmology, Tohoku University Graduate School of Medicine, Miyagi, Japan.
Kazuko OmodakaDepartment of Ophthalmology, Tohoku University Graduate School of Medicine, Miyagi, Japan.
Noriko HimoriDepartment of Ophthalmology, Tohoku University Graduate School of Medicine, Miyagi, Japan.
Yu YokoyamaDepartment of Ophthalmology, Tohoku University Graduate School of Medicine, Miyagi, Japan.
Toru NakazawaDepartment of Ophthalmology, Tohoku University Graduate School of Medicine, Miyagi, Japan. ntoru@oph.med.tohoku.ac.jp.ORCID http://orcid.org/0000-0002-5591-4155

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo investigate the relationship between the dynamics of intraocular pressure (IOP) during dark-room prone testing (DRPT) and IOP over a relatively long-term follow-up period.

methodsThis retrospective study enrolled 84 eyes of 51 primary open-angle glaucoma patients who underwent DRPT for whom at least three IOP measurements made using Goldmann applanation tonometry were available over a maximum follow-up period of two years. We excluded eyes with a history of intraocular surgery or laser treatment and those with changes in topical anti-glaucoma medication during the follow-up period. In DRPT, IOP was measured in the sitting position, and after 60 min in the prone position in a dark room, IOP was measured again. In this study, IOP fluctuation refers to the standard deviation (SD) of IOP, and IOP max indicates the maximum value of IOP during the follow-up. The relationship between these parameters was analyzed with a linear mixed-effects model, adjusting for clinical parameters including age, gender, and axial length.

resultsIOP increased after DRPT with a mean of 6.13 ± 3.55 mmHg. IOP max was significantly associated with IOP after DRPT (β = 0.38; p < 0.001). IOP fluctuation was significantly associated with IOP change in DRPT (β = 0.29; p = 0.007).

conclusionOur findings suggest that short-term and relatively long-term IOP dynamics are associated. Long-term IOP dynamics can be predicted by DRPT to some extent.

Indexed as

GlaucomaGlaucoma, Open-AngleFollow-Up StudiesHumansIntraocular PressureRetrospective StudiesDark-room prone testingGlaucomaIntraocular pressure fluctuationMaximum intraocular pressure

Identifiers

PMID37864634
PMCPMC10907413

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.