Evidence map›Paper›PMID 36517576›Full record

SynthesisEye (London, England)2023

Optical coherence tomography as a diagnostic intervention before cataract surgery-a review.

Taha Muneer Ahmed, M A Rehman Siddiqui, Badrul Hussain

Open access · greenAbstract readSystematic Review
In one paragraph

Synthesis in Eye (London, England), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.0field-weighted citation impact, top 13% 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

10 citing papers in PubMed, 10 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. 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

3 authors at 3 institutions in 2 countries.

Taha Muneer AhmedAga Khan University Medical College, Karachi, Pakistan.
M A Rehman SiddiquiDepartment of Ophthalmology and Visual Sciences, Aga Khan University Hospital, Karachi, Pakistan. rehman.siddiqui@gmail.com.
Badrul HussainMoorfields Eye Hospital, London, UK.ORCID 0000-0002-8524-1668
Aga Khan University · PKAga Khan University Hospital · PKMoorfields Eye Hospital · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The purpose of this study was to perform a systematic review of existing literature on OCT screening before cataract surgery. Available literature was evaluated and projections on how it could be applied to enhance postoperative outcomes of cataract surgery were summarised. The PubMed, Embase and Cochrane databases were searched for articles pertaining to preoperative OCT screening. Selected articles were qualitatively and quantitatively analysed. Across 9 studies, the addition of OCT macular screening resulted in preoperative detection of macular pathology in 13.7% of eyes that were determined to be normal on fundoscopic examination alone. The types of macular pathology most frequently detected through preoperative OCT screening were interface abnormalities followed by macular degeneration. Comparative analysis of SS-OCT biometer and SD-OCT found that SS-OCT had a sensitivity of 0.48-0.81 in the detection of macular pathology in eyes with pathology diagnosed by SD-OCT. OCT screening prior to cataract surgery results in the detection of occult macular pathology that may influence postoperative visual outcomes in approximately 1 in 10 eyes (13.7%). As a result, OCT screening should be considered in the routine preoperative workup for cataract surgery.

Indexed as

CataractCataract ExtractionMacular DegenerationEyeHumansTomography, Optical Coherence

Identifiers

PMID36517576
PMCPMC10366081
OpenAlexW4311479035

What OpenQuestion holds

Textmetadata
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.