Evidence map›Paper›PMID 32747613›Full record

ArticleBlood research2020

Genomic alterations in chronic lymphocytic leukemia and their correlation with clinico-hematological parameters and disease progression.

Vishrut K Srinivasan, Shano Naseem, Neelam Varma, Deepesh P Lad, Pankaj Malhotra

Open access · diamondAbstract read
In one paragraph

Article in Blood research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.0field-weighted citation impact, top 23% 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

8 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. How Do We Manage Chronic Lymphocytic Leukemia in India.Current hematologic malignancy reports · 2024
    Review
  3. Article
  4. Review
  5. High-resolution Melting Analysis for NOTCH1 c.7541-7542delCT Mutation in Chronic Lymphocytic Leukemia: Prognostic Significance in Egyptian Patients.Indian journal of hematology & blood transfusion : an official journal of Indian Society of Hematology and Blood Transfusion · 2022
    Article
  6. Article
  7. Review
  8. 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

5 authors at 1 institution in 1 country.

Vishrut K SrinivasanDepartments of Hematology, Postgraduate Institute of Medical Education and Research, Chandigarh, India.
Shano NaseemDepartments of Hematology, Postgraduate Institute of Medical Education and Research, Chandigarh, India.
Neelam VarmaDepartments of Hematology, Postgraduate Institute of Medical Education and Research, Chandigarh, India.
Deepesh P LadDepartments of Internal Medicine, Postgraduate Institute of Medical Education and Research, Chandigarh, India.
Pankaj MalhotraDepartments of Internal Medicine, Postgraduate Institute of Medical Education and Research, Chandigarh, India.
Post Graduate Institute of Medical Education and Research · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundChronic lymphocytic leukemia (CLL) is a heterogeneous disease, which is attributed to differences in the genetic characteristics of the leukemic clone. We studied the genomic profile of 52 treatment-naïve CLL patients.

methodsGenetic analysis was performed by multiplex ligation-dependent probe amplification (MLPA) using the SALSA P038 Probemix (MRC Holland, Amsterdam), which contains probes for 2p (

resultsThe median age was 65 years (male:female=2:1). The median hemoglobin, total leukocyte, and platelet counts were 12.4 g/dL, 57.7×10

conclusionGenetic abnormalities are commonly (65%) observed in CLL patients. Del(13q), which is associated with

Indexed as

Chronic lymphocytic leukemiaGenetic abnormalityMultiplex ligation-dependent probe amplification

Identifiers

PMID32747613
PMCPMC7536571
OpenAlexW3047405857

What OpenQuestion holds

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LicenceCC BY-NC
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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.