Evidence map›Paper›PMID 38859815›Full record

ArticleFrontiers in cardiovascular medicine2024

Varying association of nutrient intakes with quality of life in patients receiving different modes of dialysis.

Yadi Guo, Dongling Luo, Li Yin, Xiaoyan Su, Zhimin Yuan, Hui Huang, Jie Chen

Abstract read
In one paragraph

Article in Frontiers in cardiovascular medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–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 synthesis or guideline pooled it.

  1. Pooled it
  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

7 authors.

Yadi Guo *Cardiovascular Department, The Eighth Affiliated Hospital, Sun Yat-sen University, Shenzhen, China.
Dongling Luo *Cardiovascular Department, The Eighth Affiliated Hospital, Sun Yat-sen University, Shenzhen, China.
Li Yin *Cardiovascular Department, The Eighth Affiliated Hospital, Sun Yat-sen University, Shenzhen, China.
Xiaoyan SuDepartment of Nephrology, Dongguan Tungwah Hospital, Guangdong, China.
Zhimin YuanDepartment of Clinical Nutrition, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, China.
Hui HuangCardiovascular Department, The Eighth Affiliated Hospital, Sun Yat-sen University, Shenzhen, China.
Jie ChenDepartment of Radiation Oncology, Sun Yat-sen Memorial Hospital of Sun Yat-sen University, Guangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Nutrients are crucial for dialysis patients, especially elderly patients. Nutrition-related complications in dialysis patients are often closely related to cardiovascular aging. However, we know little about the effect of different nutrients on the commonly used outcome predictor, health-related quality of life (HRQOL). Therefore, this study investigated the associations between different nutrients and HRQOL among dialysis patients. Methods: A cross-sectional study was conducted on 123 dialysis adults at multiple dialysis centers. The Short Form-36 Health Survey (SF-36) assesses HRQOL. Modified quantitative subjective global assessment (MQSGA) evaluates nutritional status. A 3-day dietary record evaluated nutrient intakes. Results: Among the 123 participants, 79 received hemodialysis (HD), and 44 were on peritoneal dialysis (PD). Patients with PD had a higher SF-36 score than HD (525 ± 136 vs. 375 ± 179, Conclusions: The nutritional intake of PD patients and HD patients affects their quality of life differently. Macronutrients significantly impact HRQOL in HD patients, while vitamins have a more substantial impact on PD patients.

Indexed as

hemodialysismalnutritionnutrientperitoneal dialysisquality of life

Identifiers

PMID38859815
PMCPMC11163105

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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.