Evidence map›Paper›PMID 29434564›Full record

ArticleFrontiers in neurology2017

Cognitive Function and Serum Hormone Levels Are Associated with Gray Matter Volume Decline in Female Patients with Prolactinomas.

Shun Yao, Jian Song, Junfeng Gao, Pan Lin, Ming Yang, Kashif Rafiq Zahid, Yan Yan, Chenglong Cao, Pan Ma, Hui Zhang and 4 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in neurology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 1 pooled it
3.6field-weighted citation impact, top 6% 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

28 citing papers in PubMed, 1 synthesis or guideline pooled it, 49 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Neuropsychological complications of hypoprolactinemia.Reviews in endocrine & metabolic disorders · 2024
    Review
  10. Article
  11. Cognition and psychological wellbeing in hypopituitary patients.Reviews in endocrine & metabolic disorders · 2024
    Review
  12. Article
  13. Multimodal Neuroimaging Computing: Basics and Applications in Neurosurgery.Advances in experimental medicine and biology · 2024
    Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Review
  20. Cognitive Deficit in Schizophrenia: From Etiology to Novel Treatments.International journal of molecular sciences · 2021
    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

14 authors at 5 institutions in 1 country.

Shun YaoDepartment of Neurosurgery, Wuhan General Hospital, Southern Medical University, Guangzhou, China.
Jian SongDepartment of Neurosurgery, Wuhan General Hospital of PLA, Wuhan, China.
Junfeng GaoKey Laboratory of Cognitive Science, College of Biomedical Engineering, South-Central of University for Nationalities, Wuhan, China.
Pan LinKey Laboratory of Cognitive Science, College of Biomedical Engineering, South-Central of University for Nationalities, Wuhan, China.
Ming YangDepartment of Neurosurgery, Wuhan General Hospital, Southern Medical University, Guangzhou, China.
Kashif Rafiq ZahidHubei Key Laboratory of Genetic Regulation and Integrative Biology, College of Life Science, Central China Normal University, Wuhan, China.
Yan YanDepartment of Neurosurgery, Wuhan General Hospital of PLA, Wuhan, China.
Chenglong CaoDepartment of Neurosurgery, Wuhan General Hospital of PLA, Wuhan, China.
Pan MaDepartment of Neurosurgery, Wuhan General Hospital, Southern Medical University, Guangzhou, China.
Hui ZhangDepartment of Neurosurgery, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Zhouyue LiState Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, China.
Cheng HuangDepartment of Neurosurgery, Wuhan General Hospital of PLA, Wuhan, China.
Huichao DingDepartment of Neurosurgery, Wuhan General Hospital of PLA, Wuhan, China.
Guozheng XuDepartment of Neurosurgery, Wuhan General Hospital, Southern Medical University, Guangzhou, China.
Wuhan General Hospital of Guangzhou · CNSouthern Medical University · CNSouth Central University for Nationalities · CNCentral China Normal University · CNSun Yat-sen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

objectiveCognitive impairments have been reported in patients with hyperprolactinemia; however, there is a lack of knowledge of brain structure alterations relevant to hyperprolactinemia in prolactinomas. Thus, we aimed to identify changes in brain structure in prolactinomas and to determine whether these changes are related to cognitive performance and clinical characteristics.

methodsParticipants were 32 female patients with prolactinomas and 26 healthy controls (HC) matched for age, sex, education, and handedness. All participants underwent magnetic resonance imaging brain scans, neuropsychological assessments, and clinical evaluations. Voxel-based morphometry analysis was used to identify changes in gray matter volume (GMV). Partial correlation analysis and multiple linear regression were performed to determine the relationship between GMV, cognition, and clinical characteristics.

resultsCompared to HC, patients with prolactinomas demonstrated a decrease in GMV in the left hippocampus, left orbitofrontal cortex, right middle frontal cortex (MFC), and right inferior frontal cortex (IFC). In addition, patients performed worse than controls on tests for verbal memory and executive function, and this was significantly related to the GMV of the left hippocampus and right MFC, respectively. Moreover, in the patients, we found a negative relationship between serum prolactin levels and the GMV of the left hippocampus and right IFC, whereas a positive relationship was found between the GMV of the left hippocampus and serum levels of estradiol and luteinizing hormone.

conclusionIn patients with prolactinomas, specific brain structure abnormalities have been identified and are associated with cognitive impairments and dysfunctional hormones. This study enhances our understanding of brain structure changes that may occur with prolactinomas and provides novel and fundamental evidence for previous behavioral findings relevant to hyperprolactinemia.

Indexed as

cognitive impairmentsdysfunctional hormonesgray matter volumeprolactinomasvoxel-based morphometry

Identifiers

PMID29434564
PMCPMC5797301
OpenAlexW2791836612

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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.