Evidence map›Paper›PMID 40566008›Full record

ReviewJournal of clinical medicine2025

Review of Mix-and-Match Approach and Binocular Intraocular Lens Systems.

Tadas Naujokaitis, Grzegorz Łabuz, Ramin Khoramnia, Gerd U Auffarth

Abstract readReview
In one paragraph

Review in Journal of clinical medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. 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

4 authors.

Tadas NaujokaitisThe David J Apple Center for Vision Research, Department of Ophthalmology, University of Heidelberg, INF 400, 69120 Heidelberg, Germany.
Grzegorz ŁabuzThe David J Apple Center for Vision Research, Department of Ophthalmology, University of Heidelberg, INF 400, 69120 Heidelberg, Germany.
Ramin KhoramniaThe David J Apple Center for Vision Research, Department of Ophthalmology, University of Heidelberg, INF 400, 69120 Heidelberg, Germany.ORCID 0000-0002-6237-7773
Gerd U AuffarthThe David J Apple Center for Vision Research, Department of Ophthalmology, University of Heidelberg, INF 400, 69120 Heidelberg, Germany.ORCID 0000-0002-6927-5251

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the mix-and-match approach and in binocular intraocular lens (IOL) systems, two different IOL models are implanted in each eye to achieve the desired binocular outcome. In the mix-and-match approach, the surgeon selects the IOL models to be combined according to the clinical situation, the patient's needs, and personal preference. Combinations described in the literature include, among others, two bifocal IOLs, an extended-depth-of-focus (EDoF) IOL with a bifocal lens, a trifocal lens with an EDoF IOL or an enhanced monofocal IOL, and two EDoF models utilizing different optical principles. The outcomes depend on the selected combination of IOL models. Binocular IOL systems consist of a fixed combination of two lenses, developed to be complementary in binocular vision. Initial data indicate that they can achieve a depth of focus similar to that with a bilateral implantation of a trifocal IOL. However, comparative studies are needed to evaluate if the postoperative binocular outcome differs from that achieved with the conventional approach. The mix-and-match implantation and binocular IOL systems expand the options available to tailor the IOL selection to the patient's needs.

Indexed as

combinationintraocular lensIOLIOL systemsmix-and-match

Identifiers

PMID40566008
PMCPMC12194624

What OpenQuestion holds

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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.