Evidence map›Paper›PMID 27051233›Full record

ArticleJournal of Korean medical science2016

Pretreatment Lymphopenia, Poor Performance Status, and Early Courses of Therapy Are Risk Factors for Severe Bacterial Infection in Patients with Multiple Myeloma during Treatment with Bortezomib-based Regimens.

Shin Young Hyun, Sang Hoon Han, Soo-Jeong Kim, Ji Eun Jang, Yundeok Kim, Hyunsoo Cho, Jung Yeon Lee, June-Won Cheong, Yoo Hong Min, Jae-Woo Song and 1 more

Open access · goldAbstract read
In one paragraph

Article in Journal of Korean medical science, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.6field-weighted citation impact, top 16% 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

11 citing papers in PubMed, 19 citations in OpenAlex.

  1. Low frequency of CD3Annals of hematology · 2018
    Trial
  2. Article
  3. Article
  4. Review
  5. Article
  6. Underweight as a risk factor of mortality in patients with newly diagnosed multiple myeloma.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2021
    Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. 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

11 authors at 2 institutions in 1 country.

Shin Young HyunDivision of Hematology, Department of Internal Medicine, Severance Hospital, Yonsei University College of Medicine, Seoul, Korea .ORCID 0000-0002-8137-8675
Sang Hoon HanDivision of Infection, Department of Internal Medicine, Severance Hospital, Yonsei University College of Medicine, Seoul, Korea .
Soo-Jeong KimDivision of Hematology, Department of Internal Medicine, Severance Hospital, Yonsei University College of Medicine, Seoul, Korea .
Ji Eun JangDivision of Hematology, Department of Internal Medicine, Severance Hospital, Yonsei University College of Medicine, Seoul, Korea .ORCID 0000-0001-8832-1412
Yundeok KimDivision of Hematology, Department of Internal Medicine, Severance Hospital, Yonsei University College of Medicine, Seoul, Korea .
Hyunsoo ChoDivision of Hematology, Department of Internal Medicine, Severance Hospital, Yonsei University College of Medicine, Seoul, Korea .ORCID 0000-0003-2651-6403
Jung Yeon LeeDivision of Hematology, Department of Internal Medicine, Severance Hospital, Yonsei University College of Medicine, Seoul, Korea .ORCID 0000-0001-6162-5571
June-Won CheongDivision of Hematology, Department of Internal Medicine, Severance Hospital, Yonsei University College of Medicine, Seoul, Korea .ORCID 0000-0002-1744-0921
Yoo Hong MinDivision of Hematology, Department of Internal Medicine, Severance Hospital, Yonsei University College of Medicine, Seoul, Korea .ORCID 0000-0001-8542-9583
Jae-Woo SongDepartment of Laboratory Medicine, Severance Hospital, Yonsei University College of Medicine, Seoul, Korea .ORCID 0000-0002-1877-5731
Jin Seok KimDivision of Hematology, Department of Internal Medicine, Severance Hospital, Yonsei University College of Medicine, Seoul, Korea .ORCID 0000-0001-8986-8436
Yonsei University · KRSeverance Hospital · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of this study was to identify the risk factors associated with severe bacterial infection (SBI) in multiple myeloma (MM) patients during treatment with bortezomib-based regimens. A total of 98 patients with MM were evaluated during 427 treatment courses. SBI occurred in 57.1% (56/98) of the patients and during 19.0% (81/427) of the treatment courses. In the multivariate analysis for the factors associated with the development of SBI in each treatment course, poor performance status (Eastern Cooperative Oncology Group ≥ 2, P < 0.001), early course of therapy (≤ 2 courses, P < 0.001), and pretreatment lymphopenia (absolute lymphocyte count < 1.0 × 10(9)/L, P = 0.043) were confirmed as independent risk factors. The probability of developing SBI were 5.1%, 14.9%, 23.9% and 59.5% in courses with 0, 1, 2, and 3 risk factors, respectively (P < 0.001). In conclusion, we identified three pretreatment risk factors associated with SBI in each course of bortezomib treatment. Therefore, MM patients with these risk factors should be more closely monitored for the development of SBI during bortezomib-based treatment.

Indexed as

AdultAgedAged, 80 and overAntineoplastic Combined Chemotherapy ProtocolsBacterial InfectionsBortezomibFemaleGram-Negative BacteriaGram-Positive BacteriaHumansLymphocyte CountLymphopeniaMaleMiddle AgedMultiple MyelomaMultivariate AnalysisBortezomibBortezomibInfectionLymphopeniaMultiple MyelomaPerformance Status

Identifiers

PMID27051233
PMCPMC4810332
OpenAlexW2288891387

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.