Observational studyBMJ open ophthalmology2022
Predictive value of retinal nerve fibre layer thickness for postoperative visual improvement in patients with pituitary macroadenoma.
Observational study in BMJ open ophthalmology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.
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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.
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.
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Who cites it
9 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.
- The role of optical coherence tomography in the evaluation of para-chiasmal lesions: a systematic review and meta-analysis.Frontiers in ophthalmology · 2025Pooled it
- Decoding visual pathway damage in pituitary macroadenomas: insights from retinal nerve fiber layer and visual field analysis.International ophthalmology · 2026Article
- Ganglion cell complex and retinal nerve fiber layer thickness in predicting visual outcome in brain tumors after surgery.World journal of experimental medicine · 2025Article
- Multidisciplinary management of pituitary macroadenoma.World journal of methodology · 2025Article
- Article
- Optical coherence tomography and electroretinography in pituitary macroadenomas: a 12-month analysis by age and tumor type.Frontiers in endocrinology · 2025Observational
- Optical coherence tomography in preoperative workup and visual outcome of pituitary macroadenomas.Surgical neurology international · 2025Article
- Imaging the optic nerve with optical coherence tomography.Eye (London, England) · 2024Review
- Preoperative Peripapillary Retinal Nerve Fiber Layer Thickness as the Prognostic Factor of Postoperative Visual Functions After Endoscopic Transsphenoidal Surgery for Pituitary Adenoma.Clinical ophthalmology (Auckland, N.Z.) · 2022Article
Corrections and comments
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Authors and funding
7 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveTo determine the usefulness of retinal nerve fibre layer (RNFL) thickness and a reliable cut-off value that can predict postoperative visual function improvement in patients with pituitary macroadenoma. METHODS AND ANALYSIS: This was a prospective observational study. Preoperative optical coherence tomography of the RNFL was performed in patients with pituitary macroadenoma. Postoperative visual function changes (acuity and visual fields) were identified using predefined criteria. Receiver operating characteristic curves were constructed for RNFL values to define the ideal cut-off value that predicted improvement. Other variables including preoperative visual acuity, mean deviation, visual field index and tumour volume were also analysed.
resultsTwenty-nine eligible subjects (58 eyes) were recruited. The mean (±SD) age was 43.9 (±12.85) years and 65.5% were male. The mean (±SE) follow-up duration was 20.8 (±6.42) months. RNFL thickness was significantly thinner in eyes with visual dysfunction and optic disc pallor. Better preoperative logarithmic minimum angle of resolution (logMAR) visual acuity, higher RNFL thickness and smaller tumour volume were associated with postoperative visual field improvement on univariate analysis; however, only mean RNFL thickness had significant association on multivariate analysis. None of the preoperative variables showed significant association with improvement in visual acuity. The best cut-off of mean RNFL thickness for visual field improvement was estimated at 81 μm with 73.1% sensitivity and 62.5% specificity.
conclusionPreoperative RNFL thickness can be an objective predictor of visual field outcomes in patients undergoing surgery for pituitary macroadenomas, with moderate sensitivity and specificity. It is, however, not a good predictor of visual acuity outcome.
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