Evidence map›Paper›PMID 35449688›Full record

ReviewCureus2022

Biomarkers of Neonatal Sepsis: From Being Mere Numbers to Becoming Guiding Diagnostics.

Sai Sravya Gude, Nikhil Chowdary Peddi, Sravya Vuppalapati, Shravya Venu Gopal, Harshita Marasandra Ramesh, Sai Sreeya Gude

Abstract readReview
In one paragraph

Review in Cureus, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

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

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Review
  6. Article
  7. Review
  8. Use and utility of C-reactive protein (CRP) in neonatal early-onset sepsis: a secondary analysis of a prospective surveillance study.Journal of perinatology : official journal of the California Perinatal Association · 2025
    Observational
  9. Review
  10. Review
  11. Review
  12. Article
  13. Article
  14. Article
  15. Review
  16. Group BAntibiotics (Basel, Switzerland) · 2023
    Review
  17. Article
  18. Article
  19. 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

6 authors.

Sai Sravya GudePediatrics, Guntur Medical College, Guntur, IND.
Nikhil Chowdary PeddiPediatrics, PES Institute of Medical Sciences and Research, Kuppam, IND.
Sravya VuppalapatiPediatrics, PES Institute of Medical Sciences and Research, Kuppam, IND.
Shravya Venu GopalInternal Medicine, Kasturba Medical College Mangalore, Mangalore, IND.
Harshita Marasandra RameshInternal Medicine and Pediatrics, Kasturba Medical College Mangalore, Mangalore, IND.
Sai Sreeya GudeInternal Medicine, Guntur Medical College, Guntur, IND.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Neonatal sepsis is a common cause of neonatal morbidity and mortality. The diagnosis of newborn sepsis is still difficult. Different early objective diagnostic tests or specific signs and symptoms, particularly in preterm infants, make it difficult to diagnose neonatal sepsis. This review article describes biomarkers and their role in the early diagnosis, treatment, and prognosis of neonatal sepsis. It also explores the possible advances and future prospects of these biomarkers. An ideal sepsis biomarker will not only help in the guidance of the use of antibiotics when not needed but also the duration of the course of antibiotics if sepsis is proven. It should also have high sensitivity, specificity, positive predictive value, and negative predictive value. These biomarkers hold a promising position in the management of neonatal sepsis and translate into use in clinical settings. Metabolomics, a diagnostic method based on detecting metabolites found in biological fluids, may open new possibilities in the management of critically ill newborns.

Indexed as

c-reactive proteins(crp)infectionmetabolomicsneonatal sepsisserum biomarkers

Identifiers

PMID35449688
PMCPMC9012212

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.