Evidence map›Paper›PMID 32300401›Full record

ArticleJournal of hematology2017

A Case of Therapy-Related Acute Myeloid Leukemia in a Patient With Heterozygous Mutations in the Ataxia Telangiectasia Mutated Gene.

Andrew Shieh, Ali A Mohamed

Open access · greenAbstract readCase Reports
In one paragraph

Article in Journal of hematology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-weighted citation impact, top 36% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Review
  2. 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.

Andrew ShiehPenn State Milton S. Hershey Medical Center, 500 University Dr., Hershey, PA 17033, USA.
Ali A MohamedPenn State Milton S. Hershey Medical Center, 500 University Dr., Hershey, PA 17033, USA.
Penn State Milton S. Hershey Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Use of adjuvant chemotherapy has improved survival for many patients with breast cancer. Unfortunately, such treatment can come at a price, in particular, malignancies. We present a case of a 36-year-old woman with heterozygous mutations in the ataxia telangiectasia mutated (ATM) gene who was admitted to the hospital for fatigue and diffusely scattered bruises. She was diagnosed with invasive ductal carcinoma of the left breast and had bilateral mastectomy with axillary node clearance followed by adjuvant chemotherapy 3 years prior. Her vitals were stable. Lab tests revealed thrombocytopenia, leukocytosis, and anemia. Peripheral blood smear and bone marrow biopsy revealed numerous myeloblasts. After flow cytometry and FISH analysis were performed, a diagnosis of therapy-related acute myeloid leukemia (t-AML) was made. The patient was treated with induction chemotherapy and a bone marrow biopsy revealed residual disease. Re-induction therapy was given and a bone marrow biopsy revealed complete remission. She subsequently received an allogenic stem cell transplant and was cured. Her treatment course was uncomplicated. We raise the question as to whether certain chemotherapy agents should be avoided in patients with mutations in DNA repair genes. Furthermore, it is essential for physicians to educate patients on the risk of secondary malignancies arising from chemotherapeutic treatment.

Indexed as

Acute myeloid leukemiaAdjuvant chemotherapyAtaxia telangiectasia mutated geneBreast cancerHematologyOncologyTherapy-related leukemia

Identifiers

PMID32300401
PMCPMC7155842
OpenAlexW2756152695

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.