Evidence map›Paper›PMID 36114519›Full record

ArticleExperimental hematology & oncology2022

Association between abnormal lipid profile and inflammation and progression of myelodysplastic syndrome to acute leukemia.

Wei Qiao, Elliana Young, Chun Feng, Suyu Liu, Jeff Jin, Laila Noor, Cristhiam M Rojas Hernandez, Gautam Borthakur, Olga Gorlova, Vahid Afshar-Kharghan

Open access · goldAbstract readLetter
In one paragraph

Article in Experimental hematology & oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.3field-weighted citation impact, top 18% 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

5 citing papers in PubMed, 10 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Article
  5. 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 at 2 institutions in 1 country.

Wei QiaoDepartment of Biostatistics, The University of Texas MD Anderson Cancer Center, 6565 MD Anderson Blvd., Suite Z9.5044, Houston, TX, 77030, USA.
Elliana YoungInformation Services, Enterprise Development & Integration, The University of Texas MD Anderson Cancer Center, 6565 MD Anderson Blvd., Suite Z9.5044, Houston, TX, 77030, USA.
Chun FengPharmacy Quality-Regulatory, The University of Texas MD Anderson Cancer Center, 6565 MD Anderson Blvd., Suite Z9.5044, Houston, TX, 77030, USA.
Suyu LiuDepartment of Biostatistics, The University of Texas MD Anderson Cancer Center, 6565 MD Anderson Blvd., Suite Z9.5044, Houston, TX, 77030, USA.
Jeff JinInformation Services, Enterprise Development & Integration, The University of Texas MD Anderson Cancer Center, 6565 MD Anderson Blvd., Suite Z9.5044, Houston, TX, 77030, USA.
Laila NoorDepartment of Pulmonary Medicine, The University of Texas MD Anderson Cancer Center, 6565 MD Anderson Blvd., Suite Z9.5044, Houston, TX, USA.
Cristhiam M Rojas HernandezSection of Benign Hematology, The University of Texas MD Anderson Cancer Center, 6565 MD Anderson Blvd., Suite Z9.5044, Houston, TX, 77030, USA.
Gautam BorthakurDepartment of Leukemia, The University of Texas MD Anderson Cancer Center, 6565 MD Anderson Blvd., Suite Z9.5044, Houston, TX, 77030, USA.
Olga GorlovaSection of Epidemiology and Population Science, Department of Medicine, Baylor College of Medicine, 6565 MD Anderson Blvd., Suite Z9.5044, Houston, TX, 77030, USA.
Vahid Afshar-KharghanSection of Benign Hematology, The University of Texas MD Anderson Cancer Center, 6565 MD Anderson Blvd., Suite Z9.5044, Houston, TX, 77030, USA. vakharghan@mdanderson.org.
The University of Texas MD Anderson Cancer Center · USBaylor College of Medicine · US

Funding

Platelets promote growth of ovarian cancerR01CA177909 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI AFSHAR-KHARGHAN, VAHID, SOOD, ANIL K · 2013 to 2023
$4.1M
Genetics of Graft-versus-Host DiseaseR01CA231141 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI AFSHAR-KHARGHAN, VAHID, GORLOVA, OLGA · 2018 to 2022
$1.6M
NCI NIH HHS CA177909NCI NIH HHS CA231141NCI NIH HHS R01 CA177909NCI NIH HHS R01 CA231141
6 · The paper itself

Abstract

Clonal hematopoiesis of indeterminate potential (CHIP) is associated with a small risk of developing hematologic malignancies and a higher risk of cardiovascular diseases (CVD). We asked whether the reverse correlation exists and cardiometabolic risk factors have an impact on the progression of myelodysplastic syndrome (MDS) to acute myeloid leukemia (AML). We investigated the association between abnormal lipid profiles and inflammation in MDS, which shares many genetic mutations with CHIP, and the risk of developing acute leukemia. We examined the medical records of 11071 MDS patients. Among them, 5422 had at least one lipid profile or C-reactive protein (CRP) measurement. In univariate and multivariate analyses, elevated triglyceride and high-sensitive C-reactive protein (HS-CRP) were significantly associated with a diagnosis of acute leukemia in MDS patients. Next, we examined these associations in patients with available MDS prognostic scores (International Prognostic Scoring System, IPSS, or its revised version IPSS/R) (n = 2786 patients). We found that the statistical association between CRP and the progression of MDS to leukemia was independent of other variables in the scoring system. MDS patients with elevated CRP in both the high-risk and low-risk groups had a higher risk of progression to AML than those with a lower CRP. We speculate that inflammation might be a common denominator in developing hematologic malignancies and CVD in patients with clonal hematopoiesis.

Indexed as

Acute Myeloid LeukemiaClonal hematopoiesisInflammationMyelodysplastic syndromeTriglyceride

Identifiers

PMID36114519
PMCPMC9479397
OpenAlexW4296041451

What OpenQuestion holds

Textmetadata
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.