Evidence map›Paper›PMID 40361469›Full record

ArticleCancers2025

The Relationship Between the Ganglion Cell-Inner Plexiform Layer, Retinal Nerve Fiber Layer, and Photopic Negative Response in Newly Diagnosed Pituitary Macroadenoma: 12-Month Prospective Follow-Up Study.

Monika Sarnat-Kucharczyk, Dorota Pojda-Wilczek, Ewa Mrukwa-Kominek, Beata Kos-Kudła, Małgorzata A Janik, Paweł Janik

Abstract read
In one paragraph

Article in Cancers, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Observational
  3. Article
  4. Observational
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.

Monika Sarnat-KucharczykDepartment of Ophthalmology, Faculty of Medical Sciences in Katowice, Medical University of Silesia, 40-752 Katowice, Poland.ORCID 0000-0001-7826-2906
Dorota Pojda-WilczekDepartment of Ophthalmology, Faculty of Medical Sciences in Katowice, Medical University of Silesia, 40-752 Katowice, Poland.ORCID 0000-0002-7579-2546
Ewa Mrukwa-KominekDepartment of Ophthalmology, Faculty of Medical Sciences in Katowice, Medical University of Silesia, 40-752 Katowice, Poland.ORCID 0000-0002-1541-4666
Beata Kos-KudłaKornel Gibinski University Clinical Centre, 40-514 Katowice, Poland.ORCID 0000-0003-3755-1722
Małgorzata A JanikInstitute of Biomedical Engineering, Faculty of Science and Technology, University of Silesia in Katowice, 41-205 Sosnowiec, Poland.ORCID 0000-0001-5489-4220
Paweł JanikInstitute of Biomedical Engineering, Faculty of Science and Technology, University of Silesia in Katowice, 41-205 Sosnowiec, Poland.ORCID 0000-0003-0910-3578

Funding

Medical University of Silesia PCN-1-080/N/2/K
6 · The paper itself

Abstract

BACKGROUND/

objectivesThis prospective study evaluates the relationship between the ganglion cell-inner plexiform layer (GCIPL), retinal nerve fiber layer (RNFL), and photopic negative response (PhNR) in patients with newly diagnosed pituitary macroadenomas over 12 months.

methodsA total of 40 patients (80 eyes) were included, divided into a treatment group of 27 patients (54 eyes), receiving pharmacological and/or surgical intervention, and an observation group of 13 patients (26 eyes), with non-functional pituitary adenomas (NFPAs) that did not require treatment.

resultsKey findings indicate a significant improvement in best corrected visual acuity (BCVA) after 12 months in the treatment group (

conclusionsThese findings suggest that GCIPL, RNFL, and PhNR analyses may be useful for monitoring disease progression and guiding treatment decisions in patients with pituitary macroadenomas.

Indexed as

electroretinographyganglion cell–inner plexiform layeroptical coherence tomographyphotopic negative responseW-ratio

Identifiers

PMID40361469
PMCPMC12071830

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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.