Evidence map›Paper›PMID 36133738›Full record

ArticleCancer management and research2022

A Comparison of Clinical Prognostic Indices in Elderly Patients with Diffuse Large B-Cell Lymphoma Treated with a Pegylated Liposomal Doxorubicin Combination Regimen in China.

Hongye Gao, Yanfeng Xu, Yanfei Liu, Lan Mi, Xiaopei Wang, Weiping Liu, Jun Zhu, Yuqin Song

Open access · goldAbstract read
In one paragraph

Article in Cancer management and research, 2022. 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
–field-weighted citation impact, top 82% 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, 0 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 2 institutions in 1 country.

Hongye Gao *Department of Lymphoma, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Peking University Cancer Hospital & Institute, Beijing, People's Republic of China.
Yanfeng Xu *Department of Lymphoma, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Peking University Cancer Hospital & Institute, Beijing, People's Republic of China.
Yanfei LiuDepartment of Lymphoma, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Peking University Cancer Hospital & Institute, Beijing, People's Republic of China.
Lan MiDepartment of Lymphoma, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Peking University Cancer Hospital & Institute, Beijing, People's Republic of China.
Xiaopei WangDepartment of Lymphoma, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Peking University Cancer Hospital & Institute, Beijing, People's Republic of China.
Weiping LiuDepartment of Lymphoma, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Peking University Cancer Hospital & Institute, Beijing, People's Republic of China.
Jun ZhuDepartment of Lymphoma, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Peking University Cancer Hospital & Institute, Beijing, People's Republic of China.
Yuqin SongDepartment of Lymphoma, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Peking University Cancer Hospital & Institute, Beijing, People's Republic of China.
Peking University Cancer Hospital · CNPeking University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: There is no consensus regarding the risk stratification scores for elderly patients with diffuse large B-cell lymphoma (DLBCL). We aimed to compare the prognostic predictive ability of the current clinical scoring indices in DLBCL elderly patients treated with the R-CODP regimen (rituximab, cyclophosphamide, pegylated liposomal doxorubicin, vincristine, and prednisone). Methods: We retrospectively collected the data of elderly DLBCL patients who received the R-CODP regimen as the first-line treatment. The efficacy of the regimen was evaluated. The Akaike information criteria (AIC), concordance index (C-index), and integrated discrimination improvement (IDI) were used to assess the fitness and prognostic performance of the current clinical prognostic indices. Results: In the total of 158 patients enrolled, the median follow-up time was 6.7 years (95% CI: 6.3-7.9), and the 5-year OS was 52.8% (95% CI: 45.5%-61.2%). The International Prognostic Index (IPI), National Comprehensive Cancer Network-IPI (NCCN-IPI), and Elderly International Prognostic Index (E-IPI) were all significantly associated with OS (P < 0.001 for all). However, no significance was observed in 5-year OS in the low- vs low-intermediate-risk groups for IPI (P = 0.377), NCCN-IPI (P = 0.238), and E-IPI (P = 0.080). Compared with the IPI and NCCN-IPI, the E-IPI had the lowest AIC value of 747.5 and the highest C-index of 0.692. For predicting 5-year mortality, the E-IPI showed better performance (AUC: 0.715 for E-IPI vs 0.676 for IPI, P = 0.036), with the IDI of 6.29% (95% CI: 3.71%-8.88%, P < 0.001) and 4.80% (95% CI: 1.32%-8.28%, P = 0.007) compared to the IPI and NCCN-IPI, respectively. Conclusion: The E-IPI might be a better prognostic prediction model in Chinese DLBCL generics treated with R-CODP for predicting 5-year mortality. However, the IPI, NCCN-IPI, and E-IPI did not seem to be able to distinguish patients with a favorable prognosis well.

Indexed as

diffuselarge B cellliposomal doxorubicinlymphomaprognosissurvival analysis

Identifiers

PMID36133738
PMCPMC9482890
OpenAlexW4297819421

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.