Evidence map›Paper›PMID 36983655›Full record

ArticleJournal of personalized medicine2023

Neutrophil-to-Lymphocyte Ratio and Platelet-to-Lymphocyte Ratio as Predictive Factors for Mortality and Length of Hospital Stay after Cardiac Surgery.

Georgios Tzikos, Ioannis Alexiou, Sokratis Tsagkaropoulos, Alexandra-Eleftheria Menni, Georgios Chatziantoniou, Soultana Doutsini, Theodosios Papavramidis, Vasilios Grosomanidis, George Stavrou, Katerina Kotzampassi

Abstract read
In one paragraph

Article in Journal of personalized medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
–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

20 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Observational
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. 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

10 authors.

Georgios TzikosDepartment of Surgery, Aristotle University of Thessaloniki, 546 36 Thessaloniki, Greece.ORCID 0000-0003-1095-8709
Ioannis AlexiouDepartment of Cardiothoracic Surgery, Aristotle University of Thessaloniki, 546 36 Thessaloniki, Greece.
Sokratis TsagkaropoulosDepartment of Cardiothoracic Surgery, Aristotle University of Thessaloniki, 546 36 Thessaloniki, Greece.ORCID 0000-0003-1293-7186
Alexandra-Eleftheria MenniDepartment of Surgery, Aristotle University of Thessaloniki, 546 36 Thessaloniki, Greece.ORCID 0000-0002-4978-1042
Georgios ChatziantoniouDepartment of Surgery, Aristotle University of Thessaloniki, 546 36 Thessaloniki, Greece.
Soultana DoutsiniDepartment of Surgery, Aristotle University of Thessaloniki, 546 36 Thessaloniki, Greece.
Theodosios PapavramidisDepartment of Surgery, Aristotle University of Thessaloniki, 546 36 Thessaloniki, Greece.ORCID 0000-0002-7097-9889
Vasilios GrosomanidisDepartment of Surgery, Aristotle University of Thessaloniki, 546 36 Thessaloniki, Greece.
George StavrouDepartment of Surgery, Aristotle University of Thessaloniki, 546 36 Thessaloniki, Greece.
Katerina KotzampassiDepartment of Surgery, Aristotle University of Thessaloniki, 546 36 Thessaloniki, Greece.ORCID 0000-0003-0241-7216

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNeutrophil-to-lymphocyte ratio (NLR) and platelet-to-lymphocyte ratio (PLR) are widely accepted indices positively correlated with disease severity, progression, and mortality. In this study, we tested whether NLR and PLR could predict mortality and length of hospital stay (LOS) after cardiac surgery.

methodsNLR and PLR were calculated on days 0, 3, 5, and 7 postoperatively. A ROC curve was generated to assess their prognostic value; multivariate logistic analysis identified independent risk factors for 90-day mortality.

resultsAnalysis was performed on 179 patients' data, 11 of whom (6.15%) died within 90 days. The discriminatory performance for predicting 90-day mortality was better for NLR7 (AUC = 0.925, 95% CI:0.865-0.984) with the optimal cut-off point being 7.10. NLR5 and PLR3 also exhibited a significant strong discriminative performance. Similarly, a significant discriminative performance was prominent for PLR3, NLR5, and NLR7 with respect to LOS. Moreover, NLR7 (OR: 2.143, 95% CI: 1.076-4.267,

conclusionsNLR and PLR are efficient predictive factors for 90-day mortality and LOS in cardiac surgery patients. Owing to the simplicity of determining NLR and PLR, their postoperative monitoring may offer a reliable predictor of patients' outcomes in terms of LOS and mortality.

Indexed as

cardiac surgerymortalityneutrophil-to-lymphocyte ratio (NLR)platelet-to-lymphocyte ratio (PLR)prognostic factor

Identifiers

PMID36983655
PMCPMC10054765

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.