Evidence map›Paper›PMID 27734262›Full record

ReviewCurrent hematologic malignancy reports2016

Antibody-Based Treatment of Acute Myeloid Leukemia.

Phillip M Garfin, Eric J Feldman

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current hematologic malignancy reports, 2016. 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
1.6field-weighted citation impact, top 15% 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, 17 citations in OpenAlex.

  1. Immunotherapy in AML: a brief review on emerging strategies.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2021
    Review
  2. A general view of CD33Blood research · 2020
    Review
  3. Review
  4. Identification of Nanobodies against the Acute Myeloid Leukemia Marker CD33.International journal of molecular sciences · 2020
    Article
  5. 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

2 authors at 1 institution in 1 country.

Phillip M GarfinSeattle Genetics, Inc., 21823-30th Drive Southeast, Bothell, WA, 98021, USA.
Eric J FeldmanSeattle Genetics, Inc., 21823-30th Drive Southeast, Bothell, WA, 98021, USA. efeldman@seagen.com.
Seagen (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

While antibody-based therapies have emerged as clinically effective approaches for several hematologic and solid malignancies, they have not played a significant role to date in the treatment of acute myeloid leukemia (AML). More recently, improvements in antibody-drug conjugate technology, bispecific antibodies, as well as identification of novel AML antigens have re-invigorated enthusiasm for antibody-based therapies for AML. This review describes experiences with former and existing antibody-based therapies for AML, including unconjugated antibodies, antibody-drug conjugates (ADCs), radio-labelled antibodies, and immune-engaging antibodies, and discusses the promise and challenges associated with each.

Indexed as

AminoglycosidesAntibodies, MonoclonalAntibodies, Monoclonal, HumanizedGemtuzumabHumansImmunoconjugatesInterleukin-3 Receptor alpha SubunitLeukemia, Myeloid, AcuteRadioimmunotherapySialic Acid Binding Ig-like Lectin 3AminoglycosidesAntibodies, MonoclonalAntibodies, Monoclonal, HumanizedGemtuzumabImmunoconjugatesInterleukin-3 Receptor alpha SubunitSGN-30 monoclonal antibodySialic Acid Binding Ig-like Lectin 3Acute myeloid leukemiaAntibody therapyCD123CD33Immunotherapy

Identifiers

PMID27734262
OpenAlexW2529990992

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.