Evidence map›Paper›PMID 33850259›Full record

SynthesisScientific reports2021

Macrophage migration inhibitory factor as a diagnostic and predictive biomarker in sepsis: meta-analysis of clinical trials.

Janos Toldi, David Nemeth, Peter Hegyi, Zsolt Molnar, Margit Solymar, Nelli Farkas, Hussain Alizadeh, Zoltan Rumbus, Eszter Pakai, Andras Garami

Open access · goldAbstract readMeta-Analysis
In one paragraph

Synthesis in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.4field-weighted citation impact, top 20% 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

10 citing papers in PubMed, 22 citations in OpenAlex.

  1. Identification of a novel and high affinity MIF inhibitorJournal of enzyme inhibition and medicinal chemistry · 2025
    Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Review
  7. Observational
  8. Review
  9. Review
  10. 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 at 1 institution in 2 countries.

Janos ToldiDepartment of Thermophysiology, Institute for Translational Medicine, Medical School, University of Pecs, Pecs, Hungary.
David NemethInstitute for Translational Medicine, Medical School and Szentagothai Research Centre, University of Pecs, Pecs, Hungary.
Peter HegyiInstitute for Translational Medicine, Medical School and Szentagothai Research Centre, University of Pecs, Pecs, Hungary.
Zsolt MolnarInstitute for Translational Medicine, Medical School and Szentagothai Research Centre, University of Pecs, Pecs, Hungary.
Margit SolymarDepartment of Thermophysiology, Institute for Translational Medicine, Medical School, University of Pecs, Pecs, Hungary.
Nelli FarkasInstitute of Bioanalysis, Medical School, University of Pecs, Pecs, Hungary.
Hussain AlizadehDivision of Hematology, First Department of Medicine, University of Pecs, Pecs, Hungary.
Zoltan RumbusDepartment of Thermophysiology, Institute for Translational Medicine, Medical School, University of Pecs, Pecs, Hungary.
Eszter PakaiDepartment of Thermophysiology, Institute for Translational Medicine, Medical School, University of Pecs, Pecs, Hungary.
Andras GaramiDepartment of Thermophysiology, Institute for Translational Medicine, Medical School, University of Pecs, Pecs, Hungary. andras.garami@aok.pte.hu.
University of Pecs · HU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The hunt for useful sepsis biomarkers is ongoing. Macrophage migration inhibitory factor (MIF) was implicated as a biomarker in sepsis, but its diagnostic and prognostic value has remained unclear in human studies. Here, we aimed at clarifying the value of MIF as a sepsis biomarker with the meta-analysis of clinical trials. PubMed, EMBASE, and Cochrane Central Register of Controlled Trials databases were searched until December 2019. From the included studies, blood MIF levels and indicators of disease severity were extracted in septic and control patient groups. Twenty-one eligible studies were identified, including data from 1876 subjects (of which 1206 had sepsis). In the septic patients, blood MIF levels were significantly higher than in healthy controls with a standardized mean difference (SMD) of 1.47 (95% confidence interval, CI: 0.96-1.97; p < 0.001) and also higher than in patient groups with nonseptic systemic inflammation (SMD = 0.94; CI: 0.51-1.38; p < 0.001). Markedly greater elevation in blood MIF level was found in the more severe forms of sepsis and in nonsurvivors than in less severe forms and in survivors with SMDs of 0.84 (CI: 0.45-1.24) and 0.75 (CI: 0.40-1.11), respectively (p < 0.001 for both). In conclusion, blood MIF level is more elevated in systemic inflammation caused by infection (i.e., sepsis) compared to noninfectious causes. In more severe forms of sepsis, including fatal outcome, MIF levels are higher than in less severe forms. These results suggest that MIF can be a valuable diagnostic and prognostic biomarker in sepsis given that well-designed clinical trials validate our findings.

Indexed as

BiomarkersMacrophage Migration-Inhibitory FactorsSepsisClinical Trials as TopicHumansIntramolecular OxidoreductasesPrognosisBiomarkersIntramolecular OxidoreductasesMacrophage Migration-Inhibitory FactorsMIF protein, human

Identifiers

PMID33850259
PMCPMC8044150
OpenAlexW3153657970

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.