Evidence map›Paper›PMID 30283014›Full record

ReviewBlood cancer journal2018

Chronic lymphocytic leukemia treatment algorithm 2018.

Sameer A Parikh

Open access · goldAbstract readReview
In one paragraph

Review in Blood cancer journal, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed, 1 pooled it
6.7field-weighted citation impact, top 2% 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

42 citing papers in PubMed, 1 synthesis or guideline pooled it, 70 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Article
  6. Review
  7. Risk of Incident Melanoma Among Individuals With Low-Count Monoclonal B-Cell Lymphocytosis.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2024
    Article
  8. Review
  9. Article
  10. Association of Cytogenetics Aberrations andGlobal medical genetics · 2024
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Article
  19. Review
  20. 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

1 author at 1 institution in 1 country.

Sameer A ParikhDivision of Hematology, Mayo Clinic, Rochester, MN, USA. parikh.sameer@mayo.edu.
Mayo Clinic in Arizona · US

Funding

Paul Calabresi Program in Clinical/Translational Research at Mayo ClinicK12CA090628 · NCI · MAYO CLINIC ROCHESTER · PI WEROHA, SARAVUT · 2001 to 2025
$19.7M
NCI NIH HHS K12 CA090628
6 · The paper itself

Abstract

The treatment landscape for patients with chronic lymphocytic leukemia (CLL) has changed considerably with the introduction of very effective oral targeted therapies (such as ibrutinib, idelalisib, and venetoclax), and next-generation anti-CD20 monoclonal antibodies (such as obinutuzumab). These agents lead to improved outcomes in CLL, even among patients with high-risk features, such as del17p13 or TP53 mutation and unmutated immunoglobulin heavy chain (IGHV) genes. Each of these treatments is associated with a unique toxicity profile; in the absence of randomized data, the choice of one type of treatment over another depends on the co-morbidities of the patient. Chemoimmunotherapy still plays an important role in the management of previously untreated CLL patients, particularly among young fit patients who have standard risk FISH profile and mutated IGHV genes. Richter's transformation of CLL remains a difficult complication to treat, although therapy with programmed death 1 inhibitors such as pembrolizumab and nivolumab has shown impressive responses in a subset of patients. Our ability to risk stratify CLL patients continues to evolve; the CLL-International Prognostic Index (CLL-IPI) is the best validated tool in predicting time to first therapy among previously untreated patients. This review summarizes the current approach to risk stratification and management of CLL patients.

Indexed as

AlgorithmsBiomarkers, TumorCombined Modality TherapyDisease ManagementDisease ProgressionDisease SusceptibilityDrug Resistance, NeoplasmHumansLeukemia, Lymphocytic, Chronic, B-CellPractice Guidelines as TopicPrognosisRecurrenceTreatment OutcomeBiomarkers, Tumor

Identifiers

PMID30283014
PMCPMC6170426
OpenAlexW2894684271

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.