Evidence map›Paper›PMID 27324271›Full record

ArticleMedical science monitor : international medical journal of experimental and clinical research2016

Predictive Values of Red Blood Cell Distribution Width in Assessing Severity of Chronic Heart Failure.

Sen Liu, Ping Wang, Ping-Ping Shen, Jian-Hua Zhou

Abstract read
In one paragraph

Article in Medical science monitor : international medical journal of experimental and clinical research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 2 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

26 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Review
  5. Article
  6. Article
  7. Advances in laboratory medicine · 2023
    Article
  8. Article
  9. Article
  10. Article
  11. Applications of Artificial Intelligence in Thrombocytopenia.Diagnostics (Basel, Switzerland) · 2023
    Review
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Observational
  18. Red Cell Distribution Width as a Novel Prognostic Marker in Multiple Clinical Studies.Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine · 2020
    Review
  19. Association Between Red Blood Cell Distribution Width and Prognosis of Renal Transplant Recipients with Early-Onset Pneumonia.Medical science monitor : international medical journal of experimental and clinical research · 2019
    Article
  20. 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

4 authors.

Sen LiuDepartment of Cardiology, Affiliated Weihai Central Hospital of Weifang Medical College, Wendeng, Shandong, China (mainland).
Ping WangDepartment of Cardiology, Affiliated Weihai Central Hospital of Weifang Medical College, Wendeng, Shandong, China (mainland).
Ping-Ping ShenDepartment of Cardiology, Affiliated Weihai Central Hospital of Weifang Medical College, Wendeng, Shandong, China (mainland).
Jian-Hua ZhouDepartment of Cardiology, Affiliated Weihai Central Hospital of Weifang Medical College, Wendeng, Shandong, China (mainland).

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND This retrospective study was performed to evaluate the value of baseline red blood cell distribution width (RDW) for predicting the severity of chronic heart failure (CHF) compared with N-terminal prohormone brain natriuretic peptide (NT-ProBNP) and other hematological and biochemical parameters. MATERIAL AND METHODS Hematological and biochemical parameters were obtained from 179 patients with New York Heart Association (NYHA) CHF class I (n=44), II (n=39), III (n=41), and IV (n=55). Receiver operator characteristic (ROC) curves were used for assessing predictive values. RESULTS RDW increased significantly in class III and IV compared with class I (14.3±2.3% and 14.3±1.7% vs. 12.9±0.8%, P<0.01). Areas under ROCs (AUCs) of RDW and NT-ProBNP for class IV HF were 0.817 and 0.840, respectively. RDW was markedly elevated in the mortality group compared with the survival group (13.7±1.7 vs. 15.8±1.8, P<0.01). The predictive value of RDW was lower than that of NT-ProBNP but was comparable to white blood cell (WBC), neutrophil (NEU), lymphocyte (L), and neutrophil/lymphocyte ratio (N/L) for mortality during hospitalization, with AUCs of 0.837, 0.939, 0.858, 0.891, 0.885, and 0.885, respectively. RDW and NT-proBNP showed low predictive values for repeated admission (≥3). RDW was an independent risk factor for mortality (OR=2.531, 95% CI: 1.371-4.671). CONCLUSIONS RDW increased significantly in class III and IV patients and in the mortality group. The predictive value of RDW is comparable to NT-proBNP for class IV and lower than that of NT-proBNP for mortality. Elevated RDW is an independent risk factor for mortality.

Indexed as

AdultAgedChronic DiseaseErythrocyte CountErythrocyte IndicesFemaleHeart FailureHumansMaleMiddle AgedNatriuretic Peptide, BrainPeptide FragmentsPredictive Value of TestsPrognosisRetrospective StudiesRisk FactorsNatriuretic Peptide, BrainPeptide Fragmentspro-brain natriuretic peptide (1-76)

Identifiers

PMID27324271
PMCPMC4920102

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Registered trials

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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.