Evidence map›Paper›PMID 32758144›Full record

ArticleBMC gastroenterology2020

Using the preoperative prognostic nutritional index as a predictive factor for non-cancer-related death in post-curative resection gastric cancer patients: a retrospective cohort study.

Hitomi Takechi, Nobuaki Fujikuni, Kazuaki Tanabe, Minoru Hattori, Hironobu Amano, Toshio Noriyuki, Masahiro Nakahara

Open access · goldAbstract read
In one paragraph

Article in BMC gastroenterology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
1.4field-weighted citation impact, top 15% 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 22 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
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

7 authors at 2 institutions in 1 country.

Hitomi TakechiDepartment of Surgery, Onomichi General Hospital, 1-10-23, Hirahara, Onomichi-shi, Hiroshima, 722-8508, Japan.
Nobuaki FujikuniDepartment of Surgery, Onomichi General Hospital, 1-10-23, Hirahara, Onomichi-shi, Hiroshima, 722-8508, Japan. fujikuni2292@gmail.com.
Kazuaki TanabeDepartment of Surgery, Division of Frontier Medical Science, Graduate School of Biomedical Sciences Hiroshima University, Hiroshima, Japan.
Minoru HattoriCenter for Medical Education Institute of Biomedical & Health Sciences, Hiroshima University, Hiroshima, Japan.
Hironobu AmanoDepartment of Surgery, Onomichi General Hospital, 1-10-23, Hirahara, Onomichi-shi, Hiroshima, 722-8508, Japan.
Toshio NoriyukiDepartment of Surgery, Onomichi General Hospital, 1-10-23, Hirahara, Onomichi-shi, Hiroshima, 722-8508, Japan.
Masahiro NakaharaDepartment of Surgery, Onomichi General Hospital, 1-10-23, Hirahara, Onomichi-shi, Hiroshima, 722-8508, Japan.
Onomichi General Hospital · JPHiroshima University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGastric cancer (GC) is the third leading cause of cancer-related mortality worldwide. Therefore, identifying the predictive factors for surgical morbidity, disease recurrence, and long-term survival is necessary for preventing GC patient mortality. We aimed to evaluate the factors that contribute to the poor prognoses of GC patients.

methodsIn this retrospective cohort study, the data of 182 patients who underwent curative gastrectomy for GC was reviewed. The data included patients' cancer stage and preoperative prognostic nutritional index (PNI) score. We identified the prognostic factors using a univariate analysis and the multivariable Cox proportional hazards model. The associations between PNI and other clinicopathologic factors for GC were compared via logistic regression analysis. Kaplan-Meier curves were used to evaluate patients' survival in relation to these factors. The median follow-up period was 3.5 years. Multivariable cumulative incidence method based on Fine and Gray's method was performed to evaluate the association between non GC-related death and potential prognostic factors.

resultsThere were significant differences in overall survival (OS) between comorbidities (myocardial infarction: P = 0.040, liver disease: P = 0.017), cancer stages (I vs. II: P = 0.049, I vs. III: P < 0.001), tumor size (P = 0.002), lymphatic vessel infiltration (P < 0.001), serum CA 19-9 (P = 0.024), and PNI scores (P = 0.002). Moreover, only PNI score was determined to be an independent prognostic factor for survival. Furthermore, stage I GC patients with high PNI scores had significantly longer OS than those with low PNI scores (P < 0.001), but these groups were not significantly different in terms of recurrence-free survival (P = 0.756). Stage II and III GC patients showed no significant difference in terms of OS and recurrence-free survival, regardless of PNI scores. Finally, Fine and Gray's method revealed that PNI score was an independent prognostic factor for non-GC-related death (P < 0.001).

conclusionsPreoperative PNI is effective in predicting the prognosis of post-curative gastrectomy GC patients and can be used to predict non-GC-related death and the OS of post-curative gastrectomy patients with stage I GC.

Indexed as

Nutrition AssessmentStomach NeoplasmsGastrectomyHumansNeoplasm Recurrence, LocalNutritional StatusPrognosisRetrospective StudiesCancer stageGastrectomyGastric cancerKaplan-Meier curveModified Glasgow prognostic scoreNeutrophil-to-lymphocyte ratioNon-cancer-related deathOverall survivalPrognostic nutritional indexRecurrence-free survival

Identifiers

PMID32758144
PMCPMC7405333
OpenAlexW3047317823

What OpenQuestion 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 OpenQuestion graph.