Evidence map›Paper›PMID 34385779›Full record

ArticleIndian journal of nuclear medicine : IJNM : the official journal of the Society of Nuclear Medicine, India

Prognostic Value of Metabolic Tumor Parameters in Pretreatment

Ayan Mallick, Jayanta Das, Manoj Kumar Shaw, Bivas Biswas, Soumendranath Ray

Open access · greenAbstract read
In one paragraph

Article in Indian journal of nuclear medicine : IJNM : the official journal of the Society of Nuclear Medicine, India. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.1field-weighted citation impact, top 50% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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

5 authors at 1 institution in 1 country.

Ayan MallickDepartment of Nuclear Medicine and PET-CT, Tata Medical Center, Kolkata, West Bengal, India.
Jayanta DasDepartment of Nuclear Medicine and PET-CT, Tata Medical Center, Kolkata, West Bengal, India.
Manoj Kumar ShawDepartment of Nuclear Medicine and PET-CT, Tata Medical Center, Kolkata, West Bengal, India.
Bivas BiswasDepartment of Medical Oncology, Tata Medical Center, Kolkata, West Bengal, India.
Soumendranath RayDepartment of Nuclear Medicine and PET-CT, Tata Medical Center, Kolkata, West Bengal, India.
Tata Medical Center · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis retrospective study aimed to investigate whether metabolic parameters of primary tumour i.e. maximum standardized uptake value (SUVmax), metabolic tumour volume (MTV) and total lesion glycolysis (TLG) predict overall survival (OS) in patients with advanced stage non-small cell lung cancer (NSCLC). MATERIALS AND

methodsSUVmax, MTV and TLG of the primary tumors were measured in staging

resultThe median follow-up period of the study was 15.84 months (range 1.3 to 47.97 months).The estimated median OS was 11.29 months (range 1.37 to 38.63 months). Total of 40 (41.24%) patients had progressive disease and 21 (21.65%) patients died during the follow up period. Receiver Operating Characteristic (ROC) analysis showed that the area under the curve (AUC) for MTV was significant (area = 0.652 ± 0.065; 95% CI = 0.548 - 0.746;

conclusionMTV of the primary tumor is a potential prognostic parameter for OS in our population of advanced NSCLC patients independent of other risk factors.

Indexed as

Maximum standardized uptake valuemetabolic tumor volumenon-small cell lung canceroverall survivalpositron emission tomographyprognostic factors

Identifiers

PMID34385779
PMCPMC8320842
OpenAlexW3173964467

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.