Evidence map›Paper›PMID 37970209›Full record

ArticleExploration of targeted anti-tumor therapy2023

Exploring the implications of modified advanced lung cancer inflammation index on outcomes in patients with advanced non-small cell lung cancer.

Abhishek Mahajan, Devendra Goyal, Ujjwal Agarwal, Vijay Patil, Shreya Shukla, Vanita Noronha, Amit Joshi, Nandini Menon, Kumar Prabhash

Open access · diamondAbstract read
In one paragraph

Article in Exploration of targeted anti-tumor therapy, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.1field-weighted citation impact, top 23% 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

5 citing papers in PubMed, 6 citations in OpenAlex.

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  4. 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

9 authors at 2 institutions in 2 countries.

Abhishek MahajanClatterbridge Centre for Oncology NHS Foundation Trust, L7 8YA Liverpool, UK.ORCID https://orcid.org/0000-0001-6606-6537
Devendra GoyalDepartment of Radiodiagnosis, Tata Memorial Hospital, Parel, Mumbai 400012, Maharashtra, India.ORCID https://orcid.org/0000-0002-3889-2337
Ujjwal AgarwalDepartment of Radiodiagnosis, Tata Memorial Hospital, Parel, Mumbai 400012, Maharashtra, India.ORCID https://orcid.org/0000-0001-7414-0696
Vijay PatilDepartment of Medical Oncology, Tata Memorial Hospital, Parel, Mumbai 400012, Maharashtra, India.
Shreya ShuklaDepartment of Radiodiagnosis, Tata Memorial Hospital, Parel, Mumbai 400012, Maharashtra, India.ORCID https://orcid.org/0000-0002-7815-9252
Vanita NoronhaDepartment of Medical Oncology, Tata Memorial Hospital, Parel, Mumbai 400012, Maharashtra, India.
Amit JoshiDepartment of Medical Oncology, Tata Memorial Hospital, Parel, Mumbai 400012, Maharashtra, India.
Nandini MenonDepartment of Medical Oncology, Tata Memorial Hospital, Parel, Mumbai 400012, Maharashtra, India.
Kumar PrabhashDepartment of Medical Oncology, Tata Memorial Hospital, Parel, Mumbai 400012, Maharashtra, India.
Tata Memorial Hospital · INClatterbridge Cancer Centre NHS Foundation Trust · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aim: Sarcopenia and skeletal muscle density (SMD) have been shown to be both predictive and prognostic marker in oncology. Advanced lung cancer inflammation index (ALI) has been shown to predict overall survival (OS) in small cell lung cancer (SCLC). Computed tomography (CT) enables skeletal muscle to be quantified, whereas body mass index (BMI) cannot accurately reflect body composition. The purpose was to evaluate the prognostic value of modified ALI (mALI) using CT-determined third lumbar vertebra (L3) muscle index beyond original ALI and see the interaction between sarcopenia, SMD, neutrophil-lymphocyte ratio (NLR), ALI and mALI at baseline and post 4 cycles of chemotherapy and their effects on OS and progress free survival (PFS) in patients with advanced non-SCLC (NSCLC). Methods: This retrospective study consisted of a total of 285 advanced NSCLC patients. The morphometric parameters such as SMD, skeletal muscle index (SMI) and fat-free mass (FFM) were measured by CT at the L3 vertebra. ALI was defined as BMI × serum albumin/NLR and mALI was defined as SMI × serum albumin/NLR. Results: Sarcopenia was observed in over 70% of patients across all BMI categories. Patients having sarcopenia suffered from a higher incidence of chemotherapeutic drug toxicities but this was not found to be statistically significant. Concordance was seen between ALI and mALI in the pre-treatment setting and this was statistically significant. A significant proportion of patients with poor ALI (90.9%), poor pre-chemotherapy mALI (91.3%) and poor post-chemotherapy mALI (89%) had poor NLR and each of them was statistically significant. Conclusions: In both univariate and multivariate analyses, this study demonstrated the statistical significance of sarcopenia, SMD, and mALI as predictive factors for OS. Additionally, sarcopenia and SMD were also found to be statistically significant factors in predicting PFS. These biomarkers could potentially help triage patients for active nutritional intervention for better outcomes.

Indexed as

advanced lung cancer inflammation indexadvanced non-small cell lung cancermodified advanced lung cancer inflammation indexSarcopenia

Identifiers

PMID37970209
PMCPMC10645468
OpenAlexW4387534121

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

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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.