Evidence map›Paper›PMID 38735935›Full record

SynthesisJournal of orthopaedic surgery and research2024

Do nutritional assessment tools (PNI, CONUT, GNRI) predict adverse events after spinal surgeries? A systematic review and meta-analysis.

Zhi Huang, Hanbo Wang, Yifeng Da, Shengxiang Liu, Wenkai Zheng, Feng Li

Abstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in Journal of orthopaedic surgery and research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
–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

17 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Whole-course high-quality nursing combined with nutritional intervention improves perioperative outcomes in spinal surgery: a randomized controlled trial.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026
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  11. A prediction model for postoperative respiratory failure in patients with traumatic cervical spinal cord injury using interpretable machine learning.European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society · 2026
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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

6 authors.

Zhi HuangThe Second Affiliated Hospital of Inner Mongolia Medical University, Hohhot, Inner Mongolia, China.
Hanbo WangThe Second Affiliated Hospital of Inner Mongolia Medical University, Hohhot, Inner Mongolia, China.
Yifeng DaThe Second Affiliated Hospital of Inner Mongolia Medical University, Hohhot, Inner Mongolia, China.
Shengxiang LiuThe Second Affiliated Hospital of Inner Mongolia Medical University, Hohhot, Inner Mongolia, China.
Wenkai ZhengThe Second Affiliated Hospital of Inner Mongolia Medical University, Hohhot, Inner Mongolia, China.
Feng LiThe Second Affiliated Hospital of Inner Mongolia Medical University, Hohhot, Inner Mongolia, China. spinespine@163.com.

Funding

The Natural Science Foundation of Inner Mongolia 2022QN08006
6 · The paper itself

Abstract

backgroundNutritional assessment tools are used to predict outcomes in cancer. However, their utility in patients undergoing spinal surgery is unclear. This review examined if prognostic nutritional index (PNI), controlling nutritional status (CONUT), and geriatric nutritional risk index (GNRI) can predict adverse events after spinal surgeries.

methodsPubMed, CENTRAL, Scopus, and Embase were screened by two reviewers for relevant studies up to 26th January 2024. The primary outcome of interest was total adverse events after spinal surgery. Secondary outcomes were surgical site infections (SSI) and mortality.

results14 studies were included. Meta-analysis showed that while reduced PNI was not associated with an increased risk of SSI there was a significant association between PNI and higher risk of adverse events. Meta-analysis showed that high CONUT was not associated with an increased risk of complications after spinal surgeries. Pooled analysis showed that low GNRI was associated with an increased risk of both SSI and adverse events. Data on mortality was scarce.

conclusionsThe PNI and GNRI can predict adverse outcomes after spinal surgeries. Limited data shows that high CONUT is also associated with a non-significant increased risk of adverse outcomes. High GNRI was predictive of an increased risk of SSI. Data on mortality is too scarce for strong conclusions.

Indexed as

Nutritional StatusNutrition AssessmentPostoperative ComplicationsSpineSurgical Wound InfectionAgedFemaleGeriatric AssessmentHumansMalePredictive Value of TestsPrognosisRisk AssessmentControlling nutritional statusGeriatric nutritional risk indexmeta-analysisNutritional indexSpinal surgery

Identifiers

PMID38735935
PMCPMC11089772

What OpenQuestion holds

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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.