ArticleMedical science monitor : international medical journal of experimental and clinical research2021
A Prognostic Model of Gastrointestinal Diffuse Large B Cell Lymphoma.
Article in Medical science monitor : international medical journal of experimental and clinical research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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.
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.
Who cites it
4 citing papers in PubMed, 11 citations in OpenAlex.
- A site-specific risk stratification model for extranodal diffuse large B-cell lymphoma in the oral cavity and maxillofacial region.Annals of hematology · 2026Article
- Anatomical laterality of primary intestinal diffuse large B-cell lymphoma independently stratifies survival: New prognostic nomogram incorporating tumor location.World journal of gastroenterology · 2026Article
- Gastrointestinal diffuse large B-cell lymphoma: Clinical characteristics and prognostic analysis from SEER database.Biomolecules & biomedicine · 2025Article
- Specific mortality in patients with diffuse large B-cell lymphoma: a retrospective analysis based on the surveillance, epidemiology, and end results database.European journal of medical research · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
BACKGROUND The digestive tract is the most common site of extranodal involvement in diffuse large B cell lymphoma (DLBCL) and its prognostic evaluation is different from that of ordinary DLBCL. Currently, for gastrointestinal lymphoma, in addition to the Ann Arbor staging system, the Lugano and the TNM staging systems are commonly used. However, there is no effective prognostic model to identify poor prognosis in patients with localized gastrointestinal diffuse large B cell lymphoma (GI-DLBCL). MATERIAL AND METHODS This study included 82 patients with GI-DLBCL that had a median follow-up of 75 months, and developed a model (HLAMA) with 5 variables: hemoglobin, age, lactate dehydrogenase (LDH), serum albumin, and the maximum intra-abdominal lesion diameter (MIALD). The specific indicators are: HGB <105 g/L (2 points); LDH ≥300 U/L; age ≥75 years, ALB <38 g/L, MIALD ≥4 cm (each scoring 1 point). We also developed a simplified model, which includes only 3 variables (HGB, LDH, and age). RESULTS HLAMA model and the simplified model both demonstrated good ability to predict prognosis of patients with GI-DLBCL (P<0.001), performing better than the IPI score as it could distinguish low-risk groups in relatively elderly patients (60-75 years old). CONCLUSIONS This study established a prognostic model for diffuse large B cell lymphoma of the gastrointestinal tract. Both the HLAMA model and its simplified version are similar to the IPI score, but could be considered better as they can provide a simpler and more accurate prognostic assessment in patients with GI-DLBCL. For patients with localized GI-DLBCL, our model could distinguish high-risk patients.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.