Evidence map›Paper›PMID 39390139›Full record

ArticleDiscover oncology2024

Selection determines therapeutic effects: a retrospective analysis of the application of different frailty tools in elderly patients with multiple myeloma.

Yujun Li, Songying Zhao, Jianmei Xu, Jiangbo Zhang, Jing Wang, Huimei Guo, Liyang Liu, Hua Xue

Abstract read
In one paragraph

Article in Discover oncology, 2024. 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
–field-weighted citation impact
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.

  1. Trial
  2. Review
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

8 authors.

Yujun Li *Qian Xi Nan People's Hospital, Xingyi, 562400, China.
Songying Zhao *Department of Hematology, Affiliated Hospital of Hebei University, Baoding, 071000, Hebei, China.
Jianmei XuDepartment of Hematology, Affiliated Hospital of Hebei University, Baoding, 071000, Hebei, China.
Jiangbo ZhangDepartment of Hematology, Affiliated Hospital of Hebei University, Baoding, 071000, Hebei, China.
Jing WangDepartment of Hematology, Affiliated Hospital of Hebei University, Baoding, 071000, Hebei, China.
Huimei GuoDepartment of Hematology, Affiliated Hospital of Hebei University, Baoding, 071000, Hebei, China.
Liyang LiuDepartment of Hematology, Affiliated Hospital of Hebei University, Baoding, 071000, Hebei, China.
Hua XueDepartment of Hematology, Affiliated Hospital of Hebei University, Baoding, 071000, Hebei, China. xh-xuehua@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe aim was to explore the effectiveness of the International Myeloma Working Group Frailty Index (IMWG-FI), Mayo Score, UK Myeloma Research Alliance Risk Profile (MRP), and Intergroupe Francophone du Myélome (IFM) simplified frailty scale for classifying frailty in elderly multiple myeloma (MM) patients and compare the validity of different frailty tools.

methodsEighty-four newly diagnosed MM patients aged ≥ 60 years in HeBei University Hospital were evaluated by the IMWG-FI, Mayo score, MRP score and IFM scale, and consistency and survival analyses were performed using Cohen's kappa coefficients and the Kaplan‒Meier method, respectively.

resultsA total of 64 patients (76.2%) were identified as frail by at least one frailty tool; 14 (21.9%) were identified as frail by all four tools, and although moderate concordance was achieved between the IMWG-FI and MRP and the Mayo Score (0.432-0.474, P < 0.001), the concordance among the four assessment tools was relatively low (Cohen's kappa 0.218-0.474). The median overall survival (OS, P = 0.006, 0.025, and 0.028) and progression-free survival (PFS, P = 0.002, 0.006, and 0.03) of patients in the frail group and the nonfrail group identified by the IMWG-FI, Mayo score, and MRP were significantly different, while the median OS (P = 0.139) and PFS (P = 0.167) were not significantly different for the frail patients identified by the different frailty assessment tools.

conclusionIn this study, the consistency of the different frailty assessment tools was low, whereas that between the MRP and IMWG-FI was high. Therefore, combining IMWG-FI and MRP may reduce assessment subjectivity and improve frailty identification.

Indexed as

FrailtyGeriatric assessmentMultiple myelomaPrognosis

Identifiers

PMID39390139
PMCPMC11466923

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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.