Evidence map›Paper›PMID 30008818›Full record

ArticleOncology letters2018

Metabolic tumor volume changes assessed by interval

Luis F Oñate-Ocaña, Violeta Cortés, Rodrigo Castillo-Llanos, Andrea Terrazas, Osvaldo Garcia-Perez, Quetzalli Pitalúa-Cortes, Mayra Ponce, Alfonso Dueñas-Gonzalez, Myrna Candelaria

Open access · diamondAbstract read
In one paragraph

Article in Oncology letters, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
2.0field-weighted citation impact, top 14% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 15 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Prognostic Value ofKorean journal of radiology · 2024
    Article
  4. Interobserver Agreement on Automated Metabolic Tumor Volume Measurements of Deauville Score 4 and 5 Lesions at InterimJournal of nuclear medicine : official publication, Society of Nuclear Medicine · 2021
    Article
  5. Article
  6. Predictive value of baselineOncology letters · 2021
    Article
  7. Article
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

9 authors at 1 institution in 1 country.

Luis F Oñate-OcañaResearch Division, National Cancer Institute, Mexico City 14080, Mexico.
Violeta CortésDepartment of Nuclear Medicine, National Cancer Institute, Mexico City 14080, Mexico.
Rodrigo Castillo-LlanosResearch Division, National Cancer Institute, Mexico City 14080, Mexico.
Andrea TerrazasDepartment of Hematology, National Cancer Institute, Mexico City 14080, Mexico.
Osvaldo Garcia-PerezDepartment of Nuclear Medicine, National Cancer Institute, Mexico City 14080, Mexico.
Quetzalli Pitalúa-CortesDepartment of Nuclear Medicine, National Cancer Institute, Mexico City 14080, Mexico.
Mayra PonceResearch Division, National Cancer Institute, Mexico City 14080, Mexico.
Alfonso Dueñas-GonzalezResearch Division, National Cancer Institute, Mexico City 14080, Mexico.
Myrna CandelariaResearch Division, National Cancer Institute, Mexico City 14080, Mexico.
Instituto Nacional de Cancerología · MX

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

An early discrimination of survival probability is required for patients with diffuse large B cell lymphoma (DLBCL), which may identify patients that require other treatment options, for example clinical trials. To the best of our knowledge, the impact of interim evaluation with

Indexed as

diffuse large B-cell lymphomamultivariate analysispositron emission tomographyprognostic model in lymphomasurvival in lymphoma

Identifiers

PMID30008818
PMCPMC6036479
OpenAlexW2803879666

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.