Evidence map›Paper›PMID 38246904›Full record

ArticleGeneral thoracic and cardiovascular surgery2024

Significance of preoperative evaluation of modified advanced lung cancer inflammation index for patients with resectable non-small cell lung cancer.

Seijiro Sato, Ryo Sezaki, Hirohiko Shinohara

Abstract read
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Article in General thoracic and cardiovascular surgery, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.7field-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

10 citing papers in PubMed, 6 citations in OpenAlex.

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  10. Machine Learning-Based Prediction of Pulmonary Embolism Prognosis Using Nutritional and Inflammatory Indices.Clinical and applied thrombosis/hemostasis : official journal of the International Academy of Clinical and Applied Thrombosis/Hemostasis
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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

3 authors at 1 institution in 1 country.

Seijiro SatoDivision of General Thoracic Surgery, Nagaoka Red Cross Hospital, 2-297-1 Senshu, Nagaoka City, Niigata, 940-2085, Japan. seisato@nagaoka.jrc.or.jp.
Ryo SezakiDivision of General Thoracic Surgery, Nagaoka Red Cross Hospital, 2-297-1 Senshu, Nagaoka City, Niigata, 940-2085, Japan.
Hirohiko ShinoharaDivision of General Thoracic Surgery, Nagaoka Red Cross Hospital, 2-297-1 Senshu, Nagaoka City, Niigata, 940-2085, Japan.
Nagaoka Red Cross Hospital · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesBody composition and systemic inflammation/nutrition have been identified as important clinical factors in cancer patients. The modified advanced lung cancer inflammation index (mALI), which combines body composition and systemic inflammation/nutrition, is defined as appendicular skeletal muscle index × serum albumin/neutrophil-lymphocyte ratio. This retrospective study aimed to investigate associations between preoperative mALI and surgical outcomes in non-small cell lung cancer (NSCLC) patients.

methodsWe examined 665 patients with resectable stage I-III NSCLC who underwent pulmonary resection. Patients were divided into low-mALI (n = 168) and high-mALI (n = 497) based on the lower quartile. Kaplan-Meier curves and Cox regression analysis were used to assess the prognostic value of mALI. We then performed 1:1 propensity score matching (PSM) for high- and low-mALI to further investigate impacts on survival.

resultsOverall survival (OS) and recurrence-free survival (RFS) were both significantly poorer in the low-mALI group than in the high-mALI group (58.2% vs. 79.6%, P < 0.001; 48.8% vs. 66.7%, P < 0.001, respectively). Multivariate analysis revealed low-mALI as an independent predictor of OS (hazard ratio [HR], 2.116; 95% confidence interval (CI) 1.458-3.070; P < 0.001) and RFS (HR, 1.634; 95% CI 1.210-2.207; P = 0.001). After PSM, low-mALI remained as an independent predictor of OS (HR, 2.446; 95% CI 1.263-4.738; P = 0.008) and RFS (HR 1.835; 95% CI 1.074-3.137; P = 0.026).

conclusionPreoperative mALI appears to offer an independent predictor of poor surgical outcomes as a simple, routinely available, and inexpensive biomarker in patients with resectable NSCLC.

Indexed as

Carcinoma, Non-Small-Cell LungLung NeoplasmsPneumonectomyAgedBody CompositionFemaleHumansInflammationMaleMiddle AgedNeoplasm StagingNeutrophilsNutritional StatusPredictive Value of TestsRetrospective StudiesRisk AssessmentSerum Albumin, HumanLung cancerModified advanced lung cancer inflammation indexPulmonary resectionSkeletal muscle massSurgical outcome

Identifiers

PMID38246904
OpenAlexW4391074032

What OpenQuestion holds

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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.