Evidence map›Paper›PMID 38038771›Full record

ArticleLangenbeck's archives of surgery2023

Role of specific nutritional biomarkers in predicting post-operative complications among patients undergoing elective abdominal surgery.

Hemamalini Raghuraman, Balakrishnan Gurushankari, Giri B Laya, T P Elamurugan, Gomathi Shankar, Nivedita Nanda, Mahalakshmy Thulasingam, Vikram Kate

Abstract read
PubMed Publisher
In one paragraph

Article in Langenbeck's archives of surgery, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.9field-weighted citation impact, top 25% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

8 authors at 2 institutions in 1 country.

Hemamalini RaghuramanDepartment of Surgery, Jawaharlal Institute of Postgraduate Medical Education and Research, Pondicherry, 605006, India.ORCID https://orcid.org/0000-0003-0758-8989
Balakrishnan GurushankariDepartment of Surgical Oncology, Cancer Institute (WIA), Adyar, Chennai, India.ORCID https://orcid.org/0000-0001-5002-0032
Giri B LayaDepartment of Surgery, Jawaharlal Institute of Postgraduate Medical Education and Research, Pondicherry, 605006, India.ORCID https://orcid.org/0000-0002-7255-5262
T P ElamuruganDepartment of Surgery, Jawaharlal Institute of Postgraduate Medical Education and Research, Pondicherry, 605006, India.ORCID https://orcid.org/0000-0002-9474-7628
Gomathi ShankarDepartment of Surgery, Jawaharlal Institute of Postgraduate Medical Education and Research, Pondicherry, 605006, India.ORCID https://orcid.org/0000-0002-0245-444X
Nivedita NandaDepartment of Biochemistry, Jawaharlal Institute of Postgraduate Medical Education and Research, Pondicherry, 605006, India.ORCID https://orcid.org/0000-0002-8887-8357
Mahalakshmy ThulasingamDepartment of Preventive and Social Medicine, Jawaharlal Institute of Postgraduate Medical Education and Research, Pondicherry, 605006, India.ORCID https://orcid.org/0000-0001-8326-2855
Vikram KateDepartment of Surgery, Jawaharlal Institute of Postgraduate Medical Education and Research, Pondicherry, 605006, India. drvikramkate@gmail.com.ORCID https://orcid.org/0000-0003-3953-8492
Jawaharlal Institute of Post Graduate Medical Education and Research · INCancer Institute (WIA) · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeNutritional biomarkers like serum prealbumin, transferrin, retinol-binding protein (RBP), C-reactive protein (CRP), leptin, and insulin-like growth factor 1 (IGF1) have the inherent ability to diagnose undernutrition objectively before it is clinically manifested. The primary objective of the study was to evaluate the diagnostic efficacy of the specific nutritional biomarkers in predicting post-operative complications.

methodsA prospective cohort study was conducted in the department of surgery and included all patients aged 18 years and above who underwent elective abdominal surgery. Demographic details and clinical and surgical details were documented from the case records. Nutritional biomarker assay was done at admission. The post-operative complications occurring until discharge were graded using the Clavien-Dindo classification. The diagnostic accuracy of the specific nutritional biomarkers in predicting post-operative complications was assessed.

resultsA total of 320 patients were included in the study. Of these, 126 (39.38%) developed post-operative complications. Major complications accounted for 19.05% of the complications, while 80.95% were minor complications. Patients with blood prealbumin level less than 17.287 mg/dL had a higher incidence of complications (p < 0.001). Serum transferrin levels less than 168.04 mg/dL and IGF1 levels less than < 44.51 ng/ml showed increased incidence of complications (p < 0.001). The AUC was found to be the highest for serum IGF1 with 0.7782. Sensitivity was equally high for IGF1 and serum transferrin, with 76.98% for the former and 76.19% for the latter.

conclusionSpecific nutritional biomarkers, like serum prealbumin and transferrin, were efficient in predicting postoperative complications of patients before undergoing elective abdominal surgeries even after adjusting for confounders. This can facilitate preoperative corrective measures to lower the overall postoperative complications.

Indexed as

Postoperative ComplicationsPrealbuminBiomarkersHumansProspective StudiesTransferrinsBiomarkersPrealbuminTransferrinsC-reactive proteinInsulin-like growth factor 1LeptinMalnutritionPost-operative complicationsRetinol binding proteinSerum prealbuminTransferrin

Identifiers

PMID38038771
OpenAlexW4389225857

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.