Evidence map›Paper›PMID 36651130›Full record

ArticleJournal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism2023

Dialysis adequacy and hemoglobin levels predict cerebral atrophy in maintenance-hemodialysis patients.

Ming-Xuan Cao, Jia Xiao, Hua-Min Qin, Zhi-Hong Wang, Johannes Boltze, Shu-Xin Liu, Shen Li

Open access · greenAbstract read
In one paragraph

Article in Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism, 2023. 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
1.2field-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, 6 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Recent advances in mechanistic, therapeutic, and diagnostic research of cerebrovascular diseases: updates from brain & BrainPET 2022.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2023
    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 at 3 institutions in 2 countries.

Ming-Xuan CaoDepartment of Neurology and Psychiatry, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.
Jia XiaoDepartment of Nephrology, Dalian Municipal Central Hospital, Dalian, China.
Hua-Min QinDepartment of Pathology, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.
Zhi-Hong WangDepartment of Nephrology, Dalian Municipal Central Hospital, Dalian, China.
Johannes BoltzeSchool of Life Sciences, University of Warwick, Coventry, UK.ORCID 0000-0003-3956-4164
Shu-Xin LiuDepartment of Nephrology, Dalian Municipal Central Hospital, Dalian, China.
Shen LiDepartment of Neurology and Psychiatry, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.ORCID 0000-0001-6779-9812
Capital Medical University · CNDalian Municipal Central Hospital · CNUniversity of Warwick · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The pathogenesis of cerebral atrophy (CA) is not clear. Previous studies show a high incidence of preterm CA in hemodialysis patients. This study aims to investigate the factors influencing CA and to derive a CA prediction nomogram in maintenance-hemodialysis patients. First, brain volumes of hemodialysis patients (≤55 years) were compared against age- and sex-matched healthy controls, and differences were revealed in bilateral insular cisterns width, maximum cerebral sulci width, Evans index, ventricular-brain ratio, frontal atrophy index, and temporal lobe ratio. Then, the patients were divided equally into "no or mild" or "severe" CA groups. Potential factors influencing CA were screened. Kt/V (urea removal index) and hemoglobin levels negatively correlated with CA degree, and were used to establish a nomogram within randomly assigned training and validation patient groups. The areas under the receiver operating characteristic curves (AUROC) for training and validation groups were 0.703 and 0.744, respectively. When potassium and calcium were added to the nomogram, the AUROC for training/validation group increased to 0.748/0.806. The nomogram had optimal AUROC for training (0.759) and validation (0.804) groups when albumin was also included. Hemodialysis patients showed reduced anterior brain volumes and the nomogram established herein may have predictive value for developing CA.

Indexed as

Renal DialysisUreaAtrophyHemoglobinsHumansInfant, NewbornRetrospective StudiesHemoglobinsUreaCerebral atrophydialysis adequacyhemodialysishemoglobinnomogram

Identifiers

PMID36651130
PMCPMC10196743
OpenAlexW4317358663

What Socratic holds

Textmetadata
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 Socratic graph.