Evidence map›Paper›PMID 29450756›Full record

ArticleAnnals of surgical oncology2018

Risk Stratification According to the Prognostic Nutritional Index for Predicting Postoperative Complications After Lung Cancer Surgery.

Satoru Okada, Junichi Shimada, Satoshi Teramukai, Daishiro Kato, Hiroaki Tsunezuka, Naoko Miyata, Shunta Ishihara, Tatsuo Furuya, Chiaki Nakazono, Narumi Ishikawa and 1 more

Abstract read
PubMed Publisher
In one paragraph

Article in Annals of surgical oncology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 1 pooled it
3.8field-weighted citation impact, top 6% 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

27 citing papers in PubMed, 1 synthesis or guideline pooled it, 50 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Nutritional indicators as predictive and prognosis biomarkers for neoadjuvant chemoradiotherapy outcomes in patients with locally advanced rectal cancer.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2025
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Risk Factors of Severe Postoperative Complication in Lung Cancer Patients with Diabetes Mellitus.Annals of thoracic and cardiovascular surgery : official journal of the Association of Thoracic and Cardiovascular Surgeons of Asia · 2024
    Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors at 1 institution in 1 country.

Satoru OkadaDivision of Thoracic Surgery, Department of Surgery, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan.
Junichi ShimadaDivision of Thoracic Surgery, Department of Surgery, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan.
Satoshi TeramukaiDepartment of Biostatistics, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan.
Daishiro KatoDivision of Thoracic Surgery, Department of Surgery, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan.
Hiroaki TsunezukaDivision of Thoracic Surgery, Department of Surgery, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan.
Naoko MiyataDivision of Thoracic Surgery, Department of Surgery, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan.
Shunta IshiharaDivision of Thoracic Surgery, Department of Surgery, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan.
Tatsuo FuruyaDivision of Thoracic Surgery, Department of Surgery, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan.
Chiaki NakazonoDivision of Thoracic Surgery, Department of Surgery, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan.
Narumi IshikawaDivision of Thoracic Surgery, Department of Surgery, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan.
Masayoshi InoueDivision of Thoracic Surgery, Department of Surgery, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan. mainoue@koto.kpu-m.ac.jp.
Kyoto Prefectural University of Medicine · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe prognostic nutritional index (PNI), an immune nutritional marker based on serum albumin levels and total lymphocyte count, predicts postoperative complications in various types of malignancies. However, the clinical significance of the PNI for postoperative complications following lung cancer surgery is uncertain.

methodsPatients with resected non-small cell lung cancer (n = 515) were retrospectively analyzed and the relationship between the preoperative PNI and postoperative complications was evaluated.

resultsMultivariate logistic regression analysis revealed that a preoperative low PNI was a significant independent predictor of postoperative complications of Clavien-Dindo Grade ≥ II (odds ratio: 1.06 per unit decrease, 95.0% confidence interval 1.01-1.11). Patients were divided into three groups according to the preoperative PNI: normal (≥ 50; n = 324), mildly low (< 50, ≥ 45; n = 134), and severely low (< 45; n = 57). The incidence of postoperative complications of Grade ≥ II and Grade ≥ III in the normal, mildly low, and severely low PNI groups was 22.2, 39.6, and 42.1% and 7.1, 16.4, and 22.8%, respectively. The incidence of postoperative complications of Grade ≥ II and Grade ≥ III was significantly higher in the mildly low and severely low PNI groups than in the normal PNI group (p < 0.001 and p < 0.001, respectively). The incidence of air leak, pneumonia, and extrapulmonary infection, but not arrhythmia, was significantly higher in the mildly low and severely low PNI groups than in the normal PNI group.

conclusionsThe PNI could be a useful marker to predict the risk of postoperative complications after lung cancer surgery.

Indexed as

Nutrition AssessmentAgedAtrial FibrillationCarcinoma, Non-Small-Cell LungFemaleHumansIncidenceInfectionsLung NeoplasmsLymphocyte CountMaleMiddle AgedPneumonectomyPneumoniaPostoperative ComplicationsPredictive Value of TestsSerum Albumin

Identifiers

PMID29450756
OpenAlexW2789345565

What OpenQuestion holds

Textmetadata
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.