Evidence map›Paper›PMID 39508645›Full record

ArticleImmunity, inflammation and disease2024

Associations Between Advanced Lung Cancer Inflammation Index and Chronic Pain: Insights From National Health and Nutrition Examination Survey (NHANES) 1999-2004.

Qiqi Huang, Liling Lin, Jingwen Li, Jianwei Lin, Zhaopei Zeng, Yuan Fu, Junxiong Qiu, Junmeng Zheng

Abstract read
In one paragraph

Article in Immunity, inflammation and disease, 2024. 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
–field-weighted citation impact
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. Review
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

8 authors.

Qiqi HuangDepartment of Cardiovascular Surgery, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, China.
Liling LinDepartment of Anesthesiology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, China.
Jingwen LiDepartment of Cardiovascular Surgery, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, China.
Jianwei LinBig Data Laboratory, Joint Shantou International Eye Center of Shantou University and the Chinese University of Hong Kong, Shantou, China.
Zhaopei ZengDepartment of Cardiovascular Surgery, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, China.
Yuan FuDepartment of Cardiovascular Surgery, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, China.
Junxiong QiuDepartment of Cardiovascular Surgery, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, China.
Junmeng ZhengDepartment of Cardiovascular Surgery, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, China.ORCID 0000-0002-4243-8209

Funding

This work was supported by National Natural Science Foundation of China (82271806), Natural Science Foundation of Guangdong Province (2022A1515110560), Basic and Applied Basic Research Project of Guangzhou Basic Research Program (202201011024), and Scientific Research Sailing Project of Sun Yat-sen Memorial Hospital, Sun Yat-sen University (YXQH2022017).
6 · The paper itself

Abstract

introductionNutrition and inflammation are known factors in chronic pain, but their combined influence is not fully understood. This study investigates the associations between advanced lung cancer inflammation index (ALI) and various types of pain, including joint pain, neck pain, low back pain, and severe headaches and migraines.

methodsIn this cross-sectional study, a total of 3842 participants were recruited from the National Health and Nutrition Examination Survey (NHANES) from 1999 to 2004. Participants were categorized into three groups based on ALI tertiles: low (≤ 46.982), moderate (> 46.982 and ≤ 70.359), and high (> 70.359). Logistic regression, restricted cubic splines (RCS), and stratified analyses were employed to assess the relationship between ALI and various types of pain.

resultsHigh ALI consistently correlated with an increased risk of joint pain (fully adjusted odds ratio [OR]: 1.284; 95% confidence interval [CI]: 1.044-1.578) compared to low ALI. However, limited evidence was found in other types of pain. Stratified analyses revealed that high ALI was particularly associated with joint pain in specific demographics, including females (OR: 1.607; 95% CI: 1.205-2.144; p = 0.002), individuals aged ≥ 65 years (OR: 1.914; 95% CI: 1.254-2.923; p = 0.004), and those with a high school diploma (OR: 1.630; 95% CI: 1.171-2.268; p = 0.006). ALI also showed a positive association with multisite pain (p < 0.05), with RCS analysis revealing a linear relationship between ALI and joint pain, escalating beyond 57.85.

conclusionsThis study highlights the association between ALI and joint pain, particularly among females and older individuals. Furthermore, ALI may influence the presence of pain at multiple sites.

Indexed as

Chronic PainInflammationLung NeoplasmsNutrition SurveysAdultAgedCross-Sectional StudiesFemaleHumansMaleMiddle AgedUnited States

Identifiers

PMID39508645
PMCPMC11542284

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.