Evidence map›Paper›PMID 33253334›Full record

ArticleYonago acta medica2020

Hematological Parameters and Clinical Features in Patients with Advanced Chronic Kidney Disease.

Ertugrul Erken, Cansu Ulgen, Feyza Nur Sarisik, Neziha Erken, Ozkan Gungor, Orcun Altunoren

Open access · diamondAbstract read
In one paragraph

Article in Yonago acta medica, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.4field-weighted citation impact, top 35% 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

9 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. 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

6 authors at 2 institutions in 1 country.

Ertugrul ErkenSutcu Imam University, Department of Nephrology, Kahramanmaras, Turkey.
Cansu UlgenSutcu Imam University, Department of Internal Medicine, Kahramanmaras, Turkey.
Feyza Nur SarisikSutcu Imam University, Department of Internal Medicine, Kahramanmaras, Turkey.
Neziha ErkenDokuz Eylul University Department of Geriatric Medicine, Izmir, Turkey.
Ozkan GungorSutcu Imam University, Department of Nephrology, Kahramanmaras, Turkey.
Orcun AltunorenSutcu Imam University, Department of Nephrology, Kahramanmaras, Turkey.
Kahramanmaraş Sütçü İmam University · TRDokuz Eylül University · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHematological parameters like red cell distribution width (RDW) and mean platelet volume (MPV) were reported to be associated with inflammation, atherosclerosis, and chronic kidney disease (CKD) progression. In this study, we evaluated RDW and MPV along with clinical features in patients with advanced CKD. We also aimed to detect clues for causative relations concerning these parameters, renal function and comorbidities.

methodsStage 3-5 CKD patients (627 total) were included (mean age 63.1 years, 48.3% male). Patients with malignancies, cirrhosis, infections, severe anemia, and systemic inflammation were excluded. Patients were evaluated for clinical features and grouped for comparison using median RDW and MPV. Linear regression models were generated to predict potential influences on RDW and MPV.

resultsMean estimated glomerular filtration rate (eGFR) was 27.3 mL/min/1.73m

conclusionIn this study, we found that high RDW is associated with comorbidity burden, anemia, and inflammatory status in patients with advanced CKD. Meanwhile, low MPV seems to be associated with worse renal function.

Indexed as

blood plateletschronic kidney failureerythrocyte indicesmean platelet volumered cell distribution width

Identifiers

PMID33253334
PMCPMC7683903
OpenAlexW3092255150

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.