Evidence map›Paper›PMID 39391582›Full record

ArticleJournal of bone oncology2024

Diagnosis of newly developed multiple myeloma without bone disease detectable on conventional computed tomography (CT) scan by using dual-energy CT.

Nan Jiang, Yu Xia, Mingcong Luo, Jianhua Chen, Zongjian Qiu, Jianfang Liu

Abstract read
In one paragraph

Article in Journal of bone oncology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

6 authors.

Nan JiangDepartment of Radiology, Fujian Medical University Union Hospital, 29 Xin Quan Road, Gulou District, Fuzhou, Fujian 350001, China.
Yu XiaDepartment of Radiology, Fujian Medical University Union Hospital, 29 Xin Quan Road, Gulou District, Fuzhou, Fujian 350001, China.
Mingcong LuoDepartment of Radiology, Fujian Medical University Union Hospital, 29 Xin Quan Road, Gulou District, Fuzhou, Fujian 350001, China.
Jianhua ChenDepartment of Radiology, Fujian Medical University Union Hospital, 29 Xin Quan Road, Gulou District, Fuzhou, Fujian 350001, China.
Zongjian QiuFujian Institute of Hematology, Fujian Provincial Key Laboratory on Hematology, Fujian Medical University Union Hospital, Fuzhou, Fujian 350001, China.
Jianfang LiuDepartment of Radiology, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To evaluate the diagnostic utility of fat (hydroxyapatite) density [D Material and Methods: In this age-gender-examination sites matched case control prospective study, Chest and/or abdominal images on Revolution CT of MNBDs and control subjects were consecutive enrolled in a 1:2 ratio from October 2022 to November 2023. Multiple myeloma was clinical diagnosed according to criteria of the International Myeloma Working Group. Regions of interest (ROIs) were drawn separately for all thoracolumbar vertebrae in the scanning range by two radiologists. Additionally, a radiologist specializing in musculoskeletal imaging supervised the process. D Results: A total of 32 and MNBD patients and 64 control patients were included. The total number of ROIs outlined included MNBD group (n = 493) and control group (n = 986). For all vertebrae, D Conclusion: DECT was effective for detecting MNBD, and better diagnostic results can be obtained by grouping different spine segments.

Indexed as

Bone diseaseBone marrowComputed tomographyDual energyMultiple myeloma

Identifiers

PMID39391582
PMCPMC11466646

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.