Evidence map›Paper›PMID 33802367›Full record

ArticleJournal of clinical medicine2021

Impact of Integrated Genetic Information on Diagnosis and Prognostication for Myeloproliferative Neoplasms in the Next-Generation Sequencing Era.

Jong-Mi Lee, Howon Lee, Ki-Seong Eom, Sung-Eun Lee, Myungshin Kim, Yonggoo Kim

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical medicine, 2021. 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
1.5field-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

8 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Cancers · 2022
    Review
  6. Article
  7. Article
  8. Review
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

6 authors at 2 institutions in 1 country.

Jong-Mi LeeDepartment of Laboratory Medicine, College of Medicine, The Catholic University of Korea, Seoul 06591, Korea.
Howon LeeDepartment of Laboratory Medicine, College of Medicine, The Catholic University of Korea, Seoul 06591, Korea.
Ki-Seong EomDepartment of Hematology, Seoul St. Mary's Hematology Hospital, College of Medicine, The Catholic University of Korea, Seoul 06591, Korea.
Sung-Eun LeeDepartment of Hematology, Seoul St. Mary's Hematology Hospital, College of Medicine, The Catholic University of Korea, Seoul 06591, Korea.ORCID 0000-0002-9810-2050
Myungshin KimDepartment of Laboratory Medicine, College of Medicine, The Catholic University of Korea, Seoul 06591, Korea.ORCID 0000-0001-8632-0168
Yonggoo KimDepartment of Laboratory Medicine, College of Medicine, The Catholic University of Korea, Seoul 06591, Korea.
The Catholic University of Korea Seoul St. Mary's Hospital · KRCatholic University of Korea · KR

Funding

Korean ministry of Food and Drug Safety 18172MFDS182
6 · The paper itself

Abstract

Since next-generation sequencing has been widely used in clinical laboratories, the diagnosis and risk stratification of hematologic malignancies are greatly dependent on genetic aberrations. In this study, we analyzed the genomic landscapes of 200 patients with myeloproliferative neoplasms (MPNs) and evaluated the impact of the genomic landscape on diagnosis and risk stratification. Mutations in

Indexed as

diagnosismyeloproliferative neoplasmnext generation sequencingprognosisrisk stratification

Identifiers

PMID33802367
PMCPMC7959293
OpenAlexW3119682667

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.