Evidence map›Paper›PMID 36570690›Full record

ArticleHemaSphere2023

The Novel Prognostic Index Model of Combining Circulating Tumor DNA and PINK-E Predicts the Clinical Outcomes for Newly Diagnosed Extranodal NK/T-cell Lymphoma.

Dezhi Huang, Qiong Li, Xinlei Li, Naya Ma, Yishuo Duan, Lidan Zhu, Jiali Li, Qin Wen, Lei Gao, Cheng Yang and 4 more

Open access · goldAbstract read
In one paragraph

Article in HemaSphere, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
0.9field-weighted citation impact, top 29% 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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.

  1. Pooled it
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  7. Article
  8. [Progression and application of circulating tumor DNA in lymphoma].Zhonghua xue ye xue za zhi = Zhonghua xueyexue zazhi · 2024
    Review
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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

14 authors at 2 institutions in 1 country.

Dezhi HuangMedical Center of Hematology, Xinqiao Hospital, Army Medical University, Chongqing, China.
Qiong LiMedical Center of Hematology, Xinqiao Hospital, Army Medical University, Chongqing, China.
Xinlei LiMedical Center of Hematology, Xinqiao Hospital, Army Medical University, Chongqing, China.
Naya MaMedical Center of Hematology, Xinqiao Hospital, Army Medical University, Chongqing, China.
Yishuo DuanMedical Center of Hematology, Xinqiao Hospital, Army Medical University, Chongqing, China.
Lidan ZhuMedical Center of Hematology, Xinqiao Hospital, Army Medical University, Chongqing, China.
Jiali LiMedical Center of Hematology, Xinqiao Hospital, Army Medical University, Chongqing, China.
Qin WenMedical Center of Hematology, Xinqiao Hospital, Army Medical University, Chongqing, China.
Lei GaoMedical Center of Hematology, Xinqiao Hospital, Army Medical University, Chongqing, China.
Cheng YangMedical Center of Hematology, Xinqiao Hospital, Army Medical University, Chongqing, China.
Lingyi RaoMedical Center of Hematology, Xinqiao Hospital, Army Medical University, Chongqing, China.
Li GaoMedical Center of Hematology, Xinqiao Hospital, Army Medical University, Chongqing, China.
Xi ZhangMedical Center of Hematology, Xinqiao Hospital, Army Medical University, Chongqing, China.
Jun RaoMedical Center of Hematology, Xinqiao Hospital, Army Medical University, Chongqing, China.
Army Medical University · CNXinqiao Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Extranodal NK/T-cell lymphoma (ENKTL) is a highly aggressive and heterogeneous disease with poor clinical outcome. Our previous work had demonstrated that circulating tumor DNA (ctDNA) analyses were feasible in ENKTL, and dynamic tracing of ctDNA could be used to monitor the disease status. However, the prognostic value of ctDNA in ENKTL has not been fully investigated. Patients with newly diagnosed ENKTL from February 2017 to December 2021 (n = 70) were enrolled. The pretreatment ctDNA concentration (hGE/mL) was measured. The prognostic value of ctDNA, international prognostic index (IPI), Korean prognostic index (KPI), PINK-E, and the combination of PINK-E and ctDNA (PINK-EC) were investigated in our cohort. The IPI and PINK-E risk categories had a significant difference in progression-free survival (PFS) and overall survival (OS) between the low-risk and intermediate-risk groups. The KPI risk category had a difference in PFS and OS between the intermediate-risk and high-risk groups. Furthermore, integrating ctDNA into the PINK-E model could overcome the shortcomings of other prognostic models, which could significantly distinguish the different-risk groups. Overall, our results demonstrated that PINK-EC showed a superior prognostic prediction value and stability compared with IPI, KPI, and PINK-E. The integration of molecular features of the tumor into classic risk categories might better characterize a high-risk group where novel treatment approaches are most needed.

Identifiers

PMID36570690
PMCPMC9771254
OpenAlexW4312211890

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.