Evidence map›Paper›PMID 29473123›Full record

ReviewCurrent hematologic malignancy reports2018

Prognostic Factors in the Era of Targeted Therapies in CLL.

Prajwal Boddu, Alessandra Ferrajoli

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current hematologic malignancy reports, 2018. 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 20% 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, 12 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Biological Aspects of mTOR in Leukemia.International journal of molecular sciences · 2018
    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

2 authors at 1 institution in 1 country.

Prajwal BodduDepartment of Leukemia, The University of Texas M. D. Anderson Cancer Center, 1515 Holcombe Boulevard, Unit 428, Houston, TX, 77030, USA.
Alessandra FerrajoliDepartment of Leukemia, The University of Texas M. D. Anderson Cancer Center, 1515 Holcombe Boulevard, Unit 428, Houston, TX, 77030, USA. aferrajo@mdanderson.org.
The University of Texas MD Anderson Cancer Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purpose of reviewChronic lymphocytic leukemia is heterogeneous disease characterized by a variable clinical course that is greatly influenced by various patient and disease characteristics. Over the last two decades, advent of new diagnostic methodologies has led to the identification of several factors of prognostic and predictive relevance. Furthermore, recent advances in next-generation sequencing techniques has identified recurrent novel mutations in NOTCH1, SF3B1, BIRC3, and ATM genes whose role as prognostic and predictive markers is currently being investigated. These biologic markers carry new prognostic information and their incorporation into prognostic scoring systems will likely lead to refined multi-parameter risk models. RECENT

findingsWhile the prognostic impact of many of the most commonly used markers on clinical outcomes in patients treated with chemo-immunotherapy is well documented, it is important to review their predictive and prognostic role in the era of novel targeted therapies. This article will discuss the currently available information on the clinical relevance of prognostic markers in patients treated with novel targeted therapies.

Indexed as

Leukemia, Lymphocytic, Chronic, B-CellBiomarkers, TumorHigh-Throughput Nucleotide SequencingHumansMutationNeoplasm ProteinsPrognosisBiomarkers, TumorNeoplasm ProteinsChemo-immunotherapyFludarabineIbrutinibIdelalisibPrognosticVenetoclax

Identifiers

PMID29473123
OpenAlexW2791438380

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.