Evidence map›Paper›PMID 36760961›Full record

ArticleOman journal of ophthalmology

Pattern of astigmatism using partial coherence interferometry in patients of different age groups undergoing cataract surgery.

Sumedha Vats, Lalitha Kumari, Ranjit Goenka, Mohini Agrawal, Sanjay Mishra

Open access · diamondAbstract read
In one paragraph

Article in Oman journal of ophthalmology. 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
0.2field-weighted citation impact, top 45% 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

3 citing papers in PubMed, 2 citations in OpenAlex.

  1. Observational
  2. Article
  3. 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

5 authors at 2 institutions in 1 country.

Sumedha VatsDepartment of Ophthalmology, Armed Forces Clinic, New Delhi, India.
Lalitha KumariDepartment of Ophthalmology, Armed Forces Medical College, Pune, Maharashtra, India.
Ranjit GoenkaDepartment of Ophthalmology, Base Hospital, New Delhi, India.
Mohini AgrawalDepartment of Ophthalmology, Command Hospital, Pune, Maharashtra, India.
Sanjay MishraDepartment of Ophthalmology, Armed Hospital R and R, New Delhi, India.
Armed Forces Medical College · INCommand Hospital · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAstigmatism is a refractive error that accounts for 70% of refractive errors in the elderly population. It is important to be aware of the distribution, extent, and type of astigmatism in patients undergoing cataract surgery to guide in reducing postoperative spectacle dependency.

aimTo study the demography, amount, and pattern of astigmatism using partial coherence interferometry in patients of different age groups undergoing cataract surgery. MATERIALS AND

methodsA cross-sectional observational study. Keratometry and demography data were collected for patients planned for cataract surgery at a tertiary care center between January 2018 and December 2019. It was done with noncontact partial coherence interferometry in patients above 50 years undergoing cataract surgery.

resultsOut of 385 patients, 216 (56%) were males and 169 (44%) were females. Astigmatism was more common in males than females (

conclusionTwo hundred and sixty-two cases (68%) had ATR astigmatism mainly seen in the age group of 61-70 years. Majority had astigmatism up to 1.0 D that can be easily managed by simple cost-effective keratorefractive procedures like on-axis incision, opposite clear corneal incision, and limbal relaxing incisions.

Indexed as

Against-the-ruleastigmatismcost-effectivepatternwith-the-rule

Identifiers

PMID36760961
PMCPMC9905882
OpenAlexW4319812531

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.