Evidence map›Paper›PMID 29716700›Full record

ArticleIndian heart journal

Prognostic value of blood count parameters in patients with acute coronary syndrome.

Arsalan Majeed Adam, Ather Hasan Rizvi, Amna Haq, Rabia Naseem, Aiman Rehan, Ali Tariq Shaikh, Abdul Haseeb Abbas, Ansab Godil, Arif Ali, Muhammad Saad Ali Mallick and 2 more

Open access · goldAbstract read
In one paragraph

Article in Indian heart journal. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.1field-weighted citation impact, top 21% 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

11 citing papers in PubMed, 25 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Observational
  11. 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

12 authors at 2 institutions in 1 country.

Arsalan Majeed AdamDow University of Health Sciences (DUHS), Karachi, Pakistan. Electronic address: arsalan-56@hotmail.com.
Ather Hasan RizviDow University of Health Sciences (DUHS), Karachi, Pakistan.
Amna HaqDow University of Health Sciences (DUHS), Karachi, Pakistan.
Rabia NaseemDow University of Health Sciences (DUHS), Karachi, Pakistan.
Aiman RehanDow University of Health Sciences (DUHS), Karachi, Pakistan.
Ali Tariq ShaikhDow University of Health Sciences (DUHS), Karachi, Pakistan.
Abdul Haseeb AbbasDow University of Health Sciences (DUHS), Karachi, Pakistan.
Ansab GodilDow University of Health Sciences (DUHS), Karachi, Pakistan.
Arif AliResearch Department, Dow University of Health Sciences (DUHS), Karachi, Pakistan.
Muhammad Saad Ali MallickDow University of Health Sciences (DUHS), Karachi, Pakistan.
Muhammad Shahzeb KhanDow University of Health Sciences (DUHS), Karachi, Pakistan.
Muhammad Nawaz LashariCivil Hospital, Karachi, Pakistan.
Dow University of Health Sciences · PKCivil Hospital Karachi · PK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRecent studies have shown that complete blood count (CBC) parameters can effectively predict long-term mortality and re-infarction rates in acute coronary syndrome (ACS). However, the role of these parameters in predicting short term mortality has not been studied extensively. The main objective of this study was to determine whether CBC parameters can predict 30-days mortality and the incidence of major adverse cardiac event (MACE) in ACS patients. METHODOLOGY: A total of 297 patients with ACS were recruited in this prospective study. The relationship of baseline white blood cell (WBC) to mean platelet volume ratio (WMR) with MACE and mortality was assessed during a 30-days follow up. The patients were divided into two groups: Group A [WMR<1000] and Group B [WMR>1000]. Multivariate COX regression was performed to calculate hazard ratios (HR).

resultsWMR had the highest area under receiver operating characteristics curve and highest discriminative ability amongst all CBC parameters in predicting mortality. Patients in Group B had a higher mortality rate (p<0.001) than patients in Group A. WBC count (p=0.02), platelet count (p=0.04), WMR (p=0.008), platelet to lymphocyte ratio (p<0.001) and neutrophil to lymphocyte ratio (p=0.03) were significantly higher in the MACE-positive group as compared to MACE-negative. In multivariate cox regression analysis, WMR>1000 (HR=2.9, 95% confidence interval 1.3-6.5, p=0.01) was found to be strongest biochemical marker in predicting mortality.

conclusionWMR is an easily accessible and an inexpensive indicator, which may be used as a prognostic marker in patients with ACS.

Indexed as

Acute Coronary SyndromeBiomarkersBlood Cell CountFemaleFollow-Up StudiesHumansMaleMiddle AgedPakistanPrognosisProspective StudiesRisk AssessmentRisk FactorsROC CurveSurvival RateBiomarkersAcute coronary syndromeComplete blood countMean platelet volumeWhite blood cell

Identifiers

PMID29716700
PMCPMC5993917
OpenAlexW2733482698

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.