Evidence map›Paper›PMID 25664249›Full record

ReviewWorld journal of nephrology2015

Lipid abnormalities in kidney disease and management strategies.

Vishwam Pandya, Akhilesh Rao, Kunal Chaudhary

Open access · hybridAbstract readReview
In one paragraph

Review in World journal of nephrology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 1 pooled it
4.5field-weighted citation impact, top 5% 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

33 citing papers in PubMed, 1 synthesis or guideline pooled it, 68 citations in OpenAlex.

  1. Pooled it
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  13. The Effect of Sumac Fruit on Serum Lipids and Body Mass Index in Hemodialysis Patients.Evidence-based complementary and alternative medicine : eCAM · 2022
    Article
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  16. Review
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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

3 authors at 1 institution in 1 country.

Vishwam PandyaVishwam Pandya, Akhilesh Rao, Kunal Chaudhary, Division of Nephrology, University of Missouri Health Science Center, Columbia, MO 65212, United States.
Akhilesh RaoVishwam Pandya, Akhilesh Rao, Kunal Chaudhary, Division of Nephrology, University of Missouri Health Science Center, Columbia, MO 65212, United States.
Kunal ChaudharyVishwam Pandya, Akhilesh Rao, Kunal Chaudhary, Division of Nephrology, University of Missouri Health Science Center, Columbia, MO 65212, United States.
University of Missouri Health System · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Patients with kidney diseases continue to experience significant cardiovascular disease (CVD) morbidity and mortality. Although there are many important risk factors playing a role in the pathogenesis of CVD in chronic kidney disease (CKD) patients, dyslipidemia (elevated triglycerides, elevated oxidized low-density lipoprotein and low/dysfunctional low high-density) represents one of the modifiable risk factors. Renal failure patients have unique lipid abnormalities which not only have complex role in pathogenesis of CVD but also cause relative resistance to usual interventions. Most of the randomized trials have been in hemodialysis population and data from CKD non-dialysis, peritoneal dialysis and renal transplant populations is extremely limited. Compared to general population, evidence of mortality benefit of lipid lowering medications in CKD population is scarce. Future research should be directed towards establishing long term benefits and side effects of lipid lowering medications, through randomized trials, in CKD population.

Indexed as

Cardiovascular diseaseChronic kidney diseaseDyslipidemiaHemodialysisPeritoneal dialysisRenal transplant recipientsStatins

Identifiers

PMID25664249
PMCPMC4317631
OpenAlexW2050883929

What OpenQuestion 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 OpenQuestion graph.