Evidence map›Paper›PMID 36558459›Full record

ArticleNutrients2022

Cognitive Decline Related to Diet Pattern and Nutritional Adequacy in Alzheimer's Disease Using Surface-Based Morphometry.

Hua-Tsen Hsiao, Mi-Chia Ma, Hsin-I Chang, Ching-Heng Lin, Shih-Wei Hsu, Shu-Hua Huang, Chen-Chang Lee, Chi-Wei Huang, Chiung-Chih Chang

Open access · goldAbstract read
In one paragraph

Article in Nutrients, 2022. 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
1.0field-weighted citation impact, top 23% 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 5 citations in OpenAlex.

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

9 authors at 3 institutions in 1 country.

Hua-Tsen HsiaoDepartment of Nursing, National Tainan Junior College of Nursing, Tainan 700007, Taiwan.ORCID 0000-0001-9039-9788
Mi-Chia MaDepartment of Statistics and Institute of Data Science, National Cheng Kung University, Tainan 701401, Taiwan.ORCID 0000-0003-1949-3004
Hsin-I ChangDepartment of Neurology, Cognition and Aging Center, Institute for Translational Research in Biomedicine, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University College of Medicine, Kaohsiung 833401, Taiwan.ORCID 0000-0003-2375-9813
Ching-Heng LinCenter for Artificial Intelligence in Medicine, Chang Gung Memorial Hospital, Taoyuan 333008, Taiwan.ORCID 0000-0002-8042-5484
Shih-Wei HsuDepartment of Radiology, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University College of Medicine, Kaohsiung 833401, Taiwan.ORCID 0000-0002-3564-1524
Shu-Hua HuangDepartment of Nuclear Medicine, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University College of Medicine, Kaohsiung 833401, Taiwan.ORCID 0000-0001-6542-5315
Chen-Chang LeeDepartment of Radiology, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University College of Medicine, Kaohsiung 833401, Taiwan.ORCID 0000-0002-8677-9806
Chi-Wei HuangDepartment of Neurology, Cognition and Aging Center, Institute for Translational Research in Biomedicine, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University College of Medicine, Kaohsiung 833401, Taiwan.ORCID 0000-0002-2868-3961
Chiung-Chih ChangDepartment of Neurology, Cognition and Aging Center, Institute for Translational Research in Biomedicine, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University College of Medicine, Kaohsiung 833401, Taiwan.ORCID 0000-0002-4931-0128
Chang Gung University · TWNational Cheng Kung University · TWNational Tainan Institute of Nursing · TW

Funding

Chang Gung Memorial Hospital CMRPG8J0522, CMRPG8J0842, CMRPG8K1531Ministry of Science and Technology (MOST), Taiwan 109-2314-B-182A-082
6 · The paper itself

Abstract

Dietary pattern (DP) results in nutrition adequacy and may influence cognitive decline and cortical atrophy in Alzheimer's disease (AD). The study explored DP in 248 patients with AD. Two neurobehavioral assessments (intervals 13.4 months) and two cortical thickness measurements derived from magnetic resonance images (intervals 26.5 months) were collected as outcome measures. Reduced rank regression was used to assess the groups of DPs and a linear mixed-effect model to explore the cortical neurodegenerative patterns. At screening, underweight body mass index (BMI) was related to significant higher lipid profile, impaired cognitive function, smaller cortical thickness, lower protein DP factor loading scores and the non-spouse caregiver status. Higher mini-mental state examination (MMSE) scores were related to the DP of coffee/tea, compared to the lipid/sugar or protein DP group. The underweighted-BMI group had faster cortical thickness atrophy in the pregenual and lateral temporal cortex, while the correlations between cortical thickness degeneration and high HbA1C or low B12 and folate levels were localized in the medial and lateral prefrontal cortex. The predictive model suggested that factors related to MMSE score were related to the caregiver status. In conclusion, normal or overweight BMI, coffee/tea DP group and living with a spouse were considered as protective factors for better cognitive outcomes in patients with AD. The influence of glucose, B12 and folate on the cortical degeneration was spatially distinct from the pattern of AD degeneration.

Indexed as

Alzheimer DiseaseCognitive DysfunctionAtrophyCoffeeDietFolic AcidHumansLipidsMagnetic Resonance ImagingTeaCoffeeFolic AcidLipidsTeaAlzheimer’s diseaseblood biochemistrycognitive declinecortical thicknessdiet pattern

Identifiers

PMID36558459
PMCPMC9784891
OpenAlexW4311363681

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.