Evidence map›Paper›PMID 42221100›Full record

ArticleFrontiers in medicine2026

Infection incidence, timing, and predictors in newly diagnosed multiple myeloma: a real-world retrospective cohort study.

Ozlem Candan, Narmin Naghizada, Tekin Tuncel, Beyza Melek Palaz, Mustafa Alperen Tunc, Derya Demirtas, Ahmet Mert Yanik, Arda Bayar, Secil Salim, Fatma Temiz and 8 more

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Article in Frontiers in medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

18 authors.

Ozlem CandanDivision of Hematology, Department of Internal Medicine, Istanbul Kanuni Sultan Suleyman Training and Research Hospital, Istanbul, Türkiye.
Narmin NaghizadaDepartment of Internal Medicine, Pendik Training and Research Hospital, Marmara University School of Medicine, Istanbul, Türkiye.
Tekin TuncelDepartment of Infectious Diseases and Clinical Microbiology, Pendik Training and Research Hospital, Marmara University School of Medicine, Istanbul, Türkiye.
Beyza Melek PalazDepartment of Internal Medicine, Pendik Training and Research Hospital, Marmara University School of Medicine, Istanbul, Türkiye.
Mustafa Alperen TuncDivision of Oncology, Department of Internal Medicine, Pendik Training and Research Hospital, Marmara University School of Medicine, Istanbul, Türkiye.
Derya DemirtasDivision of Hematology, Department of Internal Medicine, Adana City Training and Research Hospital, Adana, Türkiye.
Ahmet Mert YanikDivision of Hematology, Department of Internal Medicine, Bursa City Training and Research Hospital, Bursa, Türkiye.
Arda BayarDivision of Hematology, Department of Internal Medicine, Pendik Training and Research Hospital, Marmara University School of Medicine, Istanbul, Türkiye.
Secil SalimDivision of Hematology, Department of Internal Medicine, Pendik Training and Research Hospital, Marmara University School of Medicine, Istanbul, Türkiye.
Fatma TemizDivision of Hematology, Department of Internal Medicine, Pendik Training and Research Hospital, Marmara University School of Medicine, Istanbul, Türkiye.
Ceren Uzunoglu GurenDivision of Hematology, Department of Internal Medicine, Pendik Training and Research Hospital, Marmara University School of Medicine, Istanbul, Türkiye.
Fatma ArıkanDivision of Hematology, Department of Internal Medicine, Pendik Training and Research Hospital, Marmara University School of Medicine, Istanbul, Türkiye.
Meral Ulukoylu MengucDivision of Hematology, Department of Internal Medicine, Pendik Training and Research Hospital, Marmara University School of Medicine, Istanbul, Türkiye.
Asu Fergun YilmazDivision of Hematology, Department of Internal Medicine, Pendik Training and Research Hospital, Marmara University School of Medicine, Istanbul, Türkiye.
Isik AtagunduzDivision of Hematology, Department of Internal Medicine, Pendik Training and Research Hospital, Marmara University School of Medicine, Istanbul, Türkiye.
Zekaver OdabasıDepartment of Infectious Diseases and Clinical Microbiology, Pendik Training and Research Hospital, Marmara University School of Medicine, Istanbul, Türkiye.
Tayfur ToptasDivision of Hematology, Department of Internal Medicine, Pendik Training and Research Hospital, Marmara University School of Medicine, Istanbul, Türkiye.
Ayse Tulin TuglularDivision of Hematology, Department of Internal Medicine, Pendik Training and Research Hospital, Marmara University School of Medicine, Istanbul, Türkiye.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Infections are a leading cause of morbidity and mortality in multiple myeloma (MM), particularly during the induction phase. Identifying real-world infection patterns and predictors is crucial for guiding preventive strategies. Methods: This retrospective cohort study included 161 newly diagnosed MM patients who received standard induction therapy at a single tertiary center between 2016 and 2024. Clinical, laboratory, and infection-related parameters were analyzed, with infection during the first 6 months defined as the primary outcome and 12-months analyses as secondary outcomes. Results: Infections occurred in 50.9% of patients, with the highest incidence within the first 3 months (27.3%, Conclusion: Infections pose a significant burden during the first year of MM treatment, particularly in high-risk patients during early induction. Readily available clinical parameters can aid in early risk stratification. These findings support a risk-adapted approach to infection prevention based on clinical risk factors, particularly during the early phase of treatment.

Indexed as

comorbiditiesinduction therapyinfectionsmultiple myelomareal-world studyrisk stratification

Identifiers

PMID42221100
PMCPMC13216456

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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.