Evidence map›Paper›PMID 39105180›Full record

ArticleJournal of ophthalmology2024

Comparison of Predictability in Vault Using NK Formula and KS Formula for the Implantable Collamer Lens Surgery.

Xin Zhong, Yan Li, Yuancun Li, Geng Wang, Yali Du, Mingzhi Zhang

Abstract read
In one paragraph

Article in Journal of ophthalmology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

6 authors.

Xin ZhongJoint Shantou International Eye Center of Shantou University The Chinese University of Hong Kong, Shantou, China.ORCID https://orcid.org/0009-0000-0336-3366
Yan LiJoint Shantou International Eye Center of Shantou University The Chinese University of Hong Kong, Shantou, China.ORCID https://orcid.org/0000-0002-4987-9680
Yuancun LiJoint Shantou International Eye Center of Shantou University The Chinese University of Hong Kong, Shantou, China.ORCID https://orcid.org/0000-0002-7031-8626
Geng WangJoint Shantou International Eye Center of Shantou University The Chinese University of Hong Kong, Shantou, China.ORCID https://orcid.org/0000-0001-8476-1955
Yali DuJoint Shantou International Eye Center of Shantou University The Chinese University of Hong Kong, Shantou, China.ORCID https://orcid.org/0000-0002-5907-7817
Mingzhi ZhangJoint Shantou International Eye Center of Shantou University The Chinese University of Hong Kong, Shantou, China.ORCID https://orcid.org/0000-0001-9032-7274

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: This study aims to investigate the agreement between the NK and KS formulas in predicting the vault after implantation of an EVO-implantable collamer lens (ICL). Methods: This retrospective study included 106 eyes of 57 patients who underwent ICL-V4c implantation. Preoperative vault prediction was conducted by utilizing the NK and KS formulas, with postoperative measurements by anterior segment optical coherence tomography (AS-OCT) at one month. The analysis focused on the consistency between predicted and achieved vaults, as well as the correlation between the achieved vault and various biometric parameters. Results: The mean achieved vault was 605.25 ± 212.72 Conclusion: The NK formula exhibited superior consistency and low predictive error compared to the KS formula in the 12.6 mm ICL group. AS-OCT measurements overestimated the predicted ICL vault, especially in the 13.2 mm ICL size selection. Relying solely on the NK or KS formulas for predicting vaults before ICL surgery is not recommended.

Identifiers

PMID39105180
PMCPMC11300086

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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.