Evidence map›Paper›PMID 39618167›Full record

SynthesisBiomarkers in medicine2024

Update prognostic potency of surfactant protein D (SP-D) in the COVID-19 landscape: an In-depth meta-analytical exploration.

Mohammad-Navid Bastani, Shahram Jalilian, Seyed Sobhan Bahreiny, Manoochehr Makvandi, Mojtaba Aghaei, Zahra Mansouri, Negin Karamali, Tannaz Sakhavarz, Mahdi Amraei, Elnaz Harooni

Abstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Biomarkers in medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

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

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
  6. Review
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

10 authors.

Mohammad-Navid BastaniStudent Research Committee, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.ORCID 0000-0003-4858-8723
Shahram JalilianDepartment of Medical Virology, School of Medicine, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.ORCID 0000-0002-1827-2990
Seyed Sobhan BahreinyStudent Research Committee, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.ORCID 0000-0003-2148-1205
Manoochehr MakvandiDepartment of Medical Virology, School of Medicine, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.ORCID 0000-0001-5602-6961
Mojtaba AghaeiStudent Research Committee, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.ORCID 0000-0002-6382-6657
Zahra MansouriStudent Research Committee, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.ORCID 0000-0002-5861-7228
Negin KaramaliDepartment of Immunology, School of Medicine, Tabriz University of Medical Sciences, Tabriz, Iran.ORCID 0000-0003-3753-4260
Tannaz SakhavarzDepartment of Biochemistry, Faculty of Biological Science, Kharazmi University, Tehran, Iran.ORCID 0000-0002-4107-7640
Mahdi AmraeiStudent Research Committee, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.ORCID 0000-0001-9693-4673
Elnaz HarooniStudent Research Committee, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionSurfactant Protein D (SP-D), a key component of the innate immune system, has attracted significant interest for its potential role in the pathophysiology and prognosis of COVID-19. This systematic review and meta-analysis aim to clarify the prognostic importance of SP-D levels in COVID-19 patients.

methodsA comprehensive literature search was conducted using PubMed, Web of Science, Cochrane Library, Scopus, EMBASE, and Google Scholar, covering studies published from January 2000 to January 2024. The inclusion criteria focused on studies measuring SP-D levels in the serum or plasma of COVID-19 patients, comparing severe and non-severe cases. Standardized mean differences (SMD) with 95% confidence intervals (CI) were calculated using a random-effects model to assess overall effect sizes. Meta-regressions and subgroup analyses were performed to identify potential sources of heterogeneity, including patient age, assay techniques, and gender ratio.

resultsThe meta-analysis incorporated data from nine studies involving 5,410 COVID-19 patients. Elevated SP-D levels were significantly correlated with increased disease severity, yielding an SMD of 0.642 (95% CI: 0.314 to 0.870;

conclusionThis meta-analysis confirms the prognostic significance of SP-D in the context of COVID-19. Elevated SP-D levels are associated with severe disease outcomes, highlighting its potential as a prognostic biomarker.

Indexed as

COVID-19Pulmonary Surfactant-Associated Protein DBiomarkersHumansPrognosisSARS-CoV-2Severity of Illness IndexBiomarkersPulmonary Surfactant-Associated Protein DbiomarkersCOVID-19SARS-Cov2SP-DSurfactant proteinsurfactant protein D

Identifiers

PMID39618167
PMCPMC11654819

What Socratic 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 Socratic graph.