Evidence map›Paper›PMID 36915082›Full record

ArticleWorld journal of surgical oncology2023

Increased D-dimer level was a poor predictor of neuroblastoma, especially in the high-risk group.

Yue Ma, Changchun Li, Zhenzhen Zhao, Chao Yang, Jianwu Zhou, Liang Peng, Xiaobin Deng, Shan Wang

Open access · goldFull text read
PubMed Full text at PMC Publisher
In one paragraph

Article in World journal of surgical oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.2field-weighted citation impact, top 47% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

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

8 authors at 1 institution in 1 country.

Yue MaDepartment of Pediatric Surgical Oncology, Ministry of Education Key Laboratory of Child Development and Disorders, National Clinical Research Center for Child Health and Disorders, China International Science and Technology Cooperation base of Child Development and Critical Disorders, Chongqing Key Laboratory of Pediatrics, Children's Medical Big Data Intelligent Application Chongqing University Engineering Research Center, Children's Hospital of Chongqing Medical University, Chongqing, 400014, People's Republic of China.
Changchun LiDepartment of Pediatric Surgical Oncology, Ministry of Education Key Laboratory of Child Development and Disorders, National Clinical Research Center for Child Health and Disorders, China International Science and Technology Cooperation base of Child Development and Critical Disorders, Chongqing Key Laboratory of Pediatrics, Children's Medical Big Data Intelligent Application Chongqing University Engineering Research Center, Children's Hospital of Chongqing Medical University, Chongqing, 400014, People's Republic of China.
Zhenzhen ZhaoDepartment of Pediatric Surgical Oncology, Ministry of Education Key Laboratory of Child Development and Disorders, National Clinical Research Center for Child Health and Disorders, China International Science and Technology Cooperation base of Child Development and Critical Disorders, Chongqing Key Laboratory of Pediatrics, Children's Medical Big Data Intelligent Application Chongqing University Engineering Research Center, Children's Hospital of Chongqing Medical University, Chongqing, 400014, People's Republic of China.
Chao YangDepartment of Pediatric Surgical Oncology, Ministry of Education Key Laboratory of Child Development and Disorders, National Clinical Research Center for Child Health and Disorders, China International Science and Technology Cooperation base of Child Development and Critical Disorders, Chongqing Key Laboratory of Pediatrics, Children's Medical Big Data Intelligent Application Chongqing University Engineering Research Center, Children's Hospital of Chongqing Medical University, Chongqing, 400014, People's Republic of China.
Jianwu ZhouDepartment of Pediatric Surgical Oncology, Ministry of Education Key Laboratory of Child Development and Disorders, National Clinical Research Center for Child Health and Disorders, China International Science and Technology Cooperation base of Child Development and Critical Disorders, Chongqing Key Laboratory of Pediatrics, Children's Medical Big Data Intelligent Application Chongqing University Engineering Research Center, Children's Hospital of Chongqing Medical University, Chongqing, 400014, People's Republic of China.
Liang PengDepartment of Pediatric Surgical Oncology, Ministry of Education Key Laboratory of Child Development and Disorders, National Clinical Research Center for Child Health and Disorders, China International Science and Technology Cooperation base of Child Development and Critical Disorders, Chongqing Key Laboratory of Pediatrics, Children's Medical Big Data Intelligent Application Chongqing University Engineering Research Center, Children's Hospital of Chongqing Medical University, Chongqing, 400014, People's Republic of China.
Xiaobin DengDepartment of Pediatric Surgical Oncology, Ministry of Education Key Laboratory of Child Development and Disorders, National Clinical Research Center for Child Health and Disorders, China International Science and Technology Cooperation base of Child Development and Critical Disorders, Chongqing Key Laboratory of Pediatrics, Children's Medical Big Data Intelligent Application Chongqing University Engineering Research Center, Children's Hospital of Chongqing Medical University, Chongqing, 400014, People's Republic of China.
Shan WangDepartment of Pediatric Surgical Oncology, Ministry of Education Key Laboratory of Child Development and Disorders, National Clinical Research Center for Child Health and Disorders, China International Science and Technology Cooperation base of Child Development and Critical Disorders, Chongqing Key Laboratory of Pediatrics, Children's Medical Big Data Intelligent Application Chongqing University Engineering Research Center, Children's Hospital of Chongqing Medical University, Chongqing, 400014, People's Republic of China. wangshan@hospital.cqmu.edu.cn.
Chongqing University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeD-dimer levels are associated with tumor progression and prognosis in various cancers. However, there are few research about the relationship between D-dimer and neuroblastoma (NB). This study assessed the relationships of D-dimer levels with clinical features and overall survival (OS) in patients with NB.

methodsInformation about the clinical features of 365 patients and the prognosis of 301 patients was collected. The relationship between D-dimer levels and clinical features or OS was analyzed. We constructed the risk score based on Cox regression analysis and verified the predictive efficacy of the model through ROC curve and calibration curve.

resultsThe results showed that D-dimer levels were significantly increased in patients with nonmediastinal tumor, tumor larger than 10 cm, stage 3-4 disease, bone marrow metastasis, unfavorable histology, bone metastasis, NMYC amplification, and the high-risk group (all P < 0.05). The Kaplan-Meier survival analysis showed that there were significant differences in 3- and 5-year OS (87.4% vs. 32.3%, 79.3% vs. 32.3%, P < 0.0001) between the low D-dimer and high D-dimer groups. In the high-risk group, the OS of high D-dimer was significantly lower than that of low D-dimer (P < 0.0001). All cases were divided into the training cohort (N = 211) and the validation cohort (N = 90). Multivariate analysis further suggested that D-dimer level, bone metastasis, and NMYC status were independent prognostic factors for OS (all P < 0.05). Based on the above three factors, we constructed the risk score in the training cohort. Survival analysis showed that compared with the other groups, the group with 11 scores had the worst prognosis (3-year OS 0%, P < 0.0001). The time-dependent ROC analysis and calibration curve indicated that the risk score had good accuracy.

conclusionsPatients with high D-dimer levels tended to have unfavorable clinical characteristics and poor prognosis.

Indexed as

Bone Marrow DiseasesNeuroblastomaDisease-Free SurvivalFibrin Fibrinogen Degradation ProductsHumansPrognosisFibrin Fibrinogen Degradation Productsfibrin fragment DD-dimerNeuroblastomaPrognosisRisk stratification

Identifiers

PMID36915082
PMCPMC10010962
OpenAlexW4324025936

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Registered trials

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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.