Evidence map›Paper›PMID 39459566›Full record

ArticleLife (Basel, Switzerland)2024

Lymphocyte to White Blood Cell Count Ratio an Independent Risk Factor for Heart Failure.

Lior Charach, Avishay Spitzer, Lior Zusmanovitch, Gideon Charach

Abstract read
In one paragraph

Article in Life (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Interpretable Machine Learning Approach for Predicting 30-Day Mortality of Critical Ill Patients with Pulmonary Embolism and Heart Failure: A Retrospective Study.Clinical and applied thrombosis/hemostasis : official journal of the International Academy of Clinical and Applied Thrombosis/Hemostasis
    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.

Lior CharachDivision of Gastroenterology, Laniado Medical Center, Netanya 4244916, Israel.ORCID 0000-0001-7626-5193
Avishay SpitzerOncology Institute, Tel Aviv Sourasky Medical Center, Tel Aviv University, Tel Aviv 6423906, Israel.ORCID 0000-0001-6551-9338
Lior ZusmanovitchMeuhedet Health Service, Tel-Aviv 6473813, Israel.
Gideon CharachHolon Institute of Technology Israel, Holon 5810201, Israel.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveHeart failure affects 1-2% of the population in developed countries. Hemogram biomarkers are cheap, rapid, readily accessible and are known to have prognostic benefit in cardiovascular, infectious and oncologic diseases.

methodsThe aim of the current study is to evaluate lymphocyte-to-white-blood-cell ratio (LWR) as a prognostic predictor in patients with heart failure. Patients with heart failure were recruited between January 2000 and July 2001. Exclusion criteria included metastatic malignancy, exposure to chemotherapy, radiotherapy or medications known to affect complete blood count.

results338 patients were enrolled, 33 were excluded. Mean age was 70.1 ± 10.8, 225 patients were male (73%) and 80 were female (27%). All patients were divided into three groups according to LWR. Group 1 < 0.2, group 2-0.2 < LWR < 0.35 and group 3 > 0.35. Patients with LWR ratio < 0.2 had the poorest survival while patients in the highest LWR (ratio > 0.35) had the best long-term survival.

conclusionsPatients with congestive heart failure and LWR < 0.2 showed significant increased mortality. LWR was shown as independent prognostic predictor for HF patients compared to other main outcome parameters, including CRP, NYHA, EF and LDL.

Indexed as

biomarkersheart failurelymphocyte to white blood cell ratio

Identifiers

PMID39459566
PMCPMC11509067

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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.