Evidence map›Paper›PMID 26855501›Full record

ReviewIndian journal of hematology & blood transfusion : an official journal of Indian Society of Hematology and Blood Transfusion2016

Multiple Myeloma: Treatment is Getting Individualized.

M B Agarwal

Open access · bronzeAbstract readReview
In one paragraph

Review in Indian journal of hematology & blood transfusion : an official journal of Indian Society of Hematology and Blood Transfusion, 2016. 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, 8 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Cost-Effectiveness of Autologous Stem Cell Treatment as Compared to Conventional Chemotherapy for Treatment of Multiple Myeloma in India.Indian journal of hematology & blood transfusion : an official journal of Indian Society of Hematology and Blood Transfusion · 2017
    Article
  5. Changing Times for the IJHBT.Indian journal of hematology & blood transfusion : an official journal of Indian Society of Hematology and Blood Transfusion · 2016
    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.

M B AgarwalDepartment of Haematology, Bombay Hospital Institute of Medical Sciences, Mumbai, India.
Bombay Hospital · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Multiple myeloma (MM) is a heterogeneous disease with varied outcome. The novel agents including two major classes of drugs; the immunomodulatory drugs and the proteasome inhibitors with unprecedented response rates, have replaced conventional chemotherapy. With monoclonal antibodies on the horizon, outcome of this disorder will further improve. Progression in risk stratification systems has made it possible to predict the disease course as well as outcome in myeloma patients with disease categorization into low to high risk. In addition, detection of minimal residual disease by serum free light chain assay, flow cytometry, molecular techniques like polymerase chain reaction and positron emission tomography scan is playing an important role in modifying the treatment. An extensive research in the disease biology has improved our knowledge regarding interplay between myeloma cells and elements of the bone marrow microenvironment which contribute to sustain proliferation and survival as well as de novo drug resistance. Again, insight into the role of genetic and epigenetic interactions in MM has exposed new molecular targets. All these have opened the gateway for novel therapeutic strategies with focus on risk based individualized therapy.

Indexed as

MyelomaNovelPersonalizedRiskStratificationTreatment

Identifiers

PMID26855501
PMCPMC4733675
OpenAlexW989875431

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.