Evidence map›Paper›PMID 40342430›Full record

ReviewCureus2025

Diagnostic Accuracy of C-reactive Protein, Procalcitonin, White Blood Cell Count, and Neutrophil-Lymphocyte Ratio in the Early Detection of Post-surgical Infections: A Systematic Review.

Mawada Taha, Usama Shafique, Wardah Rashid, Hussein Taha, Manahil Awan, Aisha Ayyub, Shahzad Ahmad, Lara Alsadoun

Abstract readReview
In one paragraph

Review in Cureus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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.

Mawada TahaGeneral Surgery, National Ribat University, Khartoum, SDN.
Usama ShafiqueGeneral Surgery, Azra Naheed Medical College, Lahore, PAK.
Wardah RashidInternal Medicine, Khawaja Muhammad Safdar Medical College, Lahore, PAK.
Hussein TahaSurgery, Nahda College, Khartoum, SDN.
Manahil AwanGeneral Practice, Liaquat National Hospital, Karachi, PAK.
Aisha AyyubPathology, Sir Syed College of Medical Sciences for Girls (SSCMS), Karachi, PAK.
Shahzad AhmadCardiac Surgery, Liaquat National Hospital, Karachi, PAK.
Lara AlsadounTrauma and Orthopaedics, Chelsea and Westminster Hospital, London, GBR.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Early detection of post-surgical infections is crucial for improving patient outcomes and reducing healthcare burdens. This systematic review evaluates the diagnostic accuracy of C-reactive protein (CRP), procalcitonin (PCT), white blood cell count (WBC), and neutrophil-lymphocyte ratio (NLR) in identifying early post-surgical infections across various surgical specialties. A comprehensive search was conducted in PubMed, MEDLINE, Embase, and Cochrane Library following Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, yielding eight high-quality studies, including meta-analyses, randomized controlled trials, and cohort studies. The findings indicate that CRP is the most extensively studied biomarker, with postoperative day (POD) 3-7 levels demonstrating moderate to high predictive value in abdominal, colorectal, spinal, and pancreatic surgeries. PCT was effective in guiding the management of adhesion-related small bowel obstruction, while NLR showed moderate diagnostic performance in orthopedic infections. Sensitivity and specificity varied across biomarkers and surgical types, with CRP showing the highest accuracy in spinal surgery (100% sensitivity and 96.8% specificity). Quality assessment using AMSTAR 2, ROB 2, QUADAS-2, and NOS tools revealed a moderate risk of bias in most studies due to heterogeneity in methodologies and biomarker cutoffs. The results support the integration of biomarker-based infection monitoring into perioperative protocols to optimize patient management, facilitate early discharge, and reduce unnecessary antibiotic use. Future research should focus on large-scale multicenter trials to establish standardized biomarker thresholds and explore the potential of combining multiple biomarkers with artificial intelligence-driven predictive models.

Indexed as

biomarker accuracyc-reactive proteinneutrophil-lymphocyte ratiopost-surgical infectionprocalcitoninwhite blood cell count

Identifiers

PMID40342430
PMCPMC12059240

What OpenQuestion holds

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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.