Evidence map›Paper›PMID 35117294›Full record

ArticleTranslational cancer research2020

Cognitive impairment is related to a reduced count of T-lymphocytes in older patients diagnosed with non-small cell lung cancer (NSCLC).

Teresa Soria-Comes, Vicente Palomar-Abril, María Martín Ureste, Javier García Sánchez, Josefa Esperanza Marco Buades, María José Fernández Llavador, Amparo López Gabaldón, Mar González Jurado, Inmaculada Concepción Maestu Maiques

Open access · diamondAbstract read
In one paragraph

Article in Translational cancer research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
0.5field-weighted citation impact, top 29% 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, 1 synthesis or guideline pooled it, 10 citations in OpenAlex.

  1. Prevalence and assessment tools of cancer-related cognitive impairment in lung cancer survivors: a systematic review and proportional meta-analysis.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2024
    Pooled it
  2. A nomogram for predicting cancer-related cognitive impairment in lung cancer patients from a nursing science precision health model perspective.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2025
    Article
  3. Article
  4. Article
  5. 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

9 authors at 2 institutions in 1 country.

Teresa Soria-ComesDepartment of Medical Oncology, Hospital Universitario Doctor Peset, Valencia, Comunitat Valenciana, Spain.
Vicente Palomar-AbrilDepartment of Medical Oncology, Hospital Virgen de los Lirios, Alicante, Comunitat Valenciana, Spain.
María Martín UresteDepartment of Medical Oncology, Hospital Universitario Doctor Peset, Valencia, Comunitat Valenciana, Spain.
Javier García SánchezDepartment of Medical Oncology, Hospital Universitario Doctor Peset, Valencia, Comunitat Valenciana, Spain.
Josefa Esperanza Marco BuadesDepartment of Hematology, Hospital Universitario Doctor Peset, Valencia, Comunitat Valenciana, Spain.
María José Fernández LlavadorDepartment of Hematology, Hospital Universitario Doctor Peset, Valencia, Comunitat Valenciana, Spain.
Amparo López GabaldónDepartment of Hematology, Hospital Universitario Doctor Peset, Valencia, Comunitat Valenciana, Spain.
Mar González JuradoDepartment of Hematology, Hospital Universitario Doctor Peset, Valencia, Comunitat Valenciana, Spain.
Inmaculada Concepción Maestu MaiquesDepartment of Medical Oncology, Hospital Universitario Doctor Peset, Valencia, Comunitat Valenciana, Spain.
Hospital Universitario Doctor Peset · ESHospital Virgen de los Lirios · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAging is a risk factor for cancer and cognitive impairment, and both have been related to changes in the immune system (immunosenescence) and chronic inflammation (inflammaging) of elderly individuals. Therefore, it would be interesting to know if there is a connection between immunological variations and cognitive function in oncologic patients, especially in lung cancer, in which, inflammation plays a crucial role in tumor development and progression. Our objective is to assess, in older patients diagnosed with non-small cell lung cancer (NSCLC), differences in parameters of the immune system depending on their cognitive status.

methodsWe retrospectively analyzed patients ≥70 years diagnosed with NSCLC with evaluated cognitive function, from January 2017 to April 2019. Lymphocyte count was gathered at baseline and checked for differences in lymphocyte counts between patients with a Pfeiffer result of 0-2

resultsSeventy patients were analyzed. Sixty had a normal cognitive function, while ten had an impaired cognitive status; these were significantly older. Multivariate analysis showed that patients with cognitive impairment had lower levels of total, T and CD8+ T-lymphocytes (P=0.011, 0.011 and 0.019, respectively). Older age was only correlated to higher level of CD8+ T-lymphocytes (P=0.0390). Odds ratio for the risk of cognitive impairment depending on the level of T-lymphocytes was 0.996 (95% CI: 0.995-0.998), P=0.037.

conclusionsT-lymphocyte count is lower in patients diagnosed with lung cancer and cognitive impairment. These findings suggest that clinical features are closely related to immunological status in older patients with NSCLC. Therefore, age cannot always explain immunosenescence, and geriatric assessment could help.

Indexed as

cognitive impairmentcomprehensive geriatric assessmentImmunosenescencenon-small cell lung cancer (NSCLC)older patients

Identifiers

PMID35117294
PMCPMC8798470
OpenAlexW3099873587

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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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 Socratic graph.