Evidence map›Paper›PMID 23227092›Full record

ReviewClinical & developmental immunology2012

Complement diagnostics: concepts, indications, and practical guidelines.

Bo Nilsson, Kristina Nilsson Ekdahl

Abstract readReview
In one paragraph

Review in Clinical & developmental immunology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 2 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

29 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Innate Immunity in the Cottonmouth Watersnake (Animals : an open access journal from MDPI · 2025
    Article
  4. Review
  5. Review
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  13. Review
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  19. Thrombotic Microangiopathy Following Pediatric Autologous Hematopoietic Cell Transplantation: A Report of Significant End-Organ Dysfunction in Eculizumab-Treated Survivors.Biology of blood and marrow transplantation : journal of the American Society for Blood and Marrow Transplantation · 2019
    Article
  20. Observational
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

2 authors.

Bo NilssonDepartment of Immunology, Genetics and Pathology, Rudbeck Laboratory, Uppsala University, Sweden. bo.nilsson@igp.uu.se
Kristina Nilsson Ekdahl

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aberrations in the complement system have been shown to be direct or indirect pathophysiological mechanisms in a number of diseases and pathological conditions such as autoimmune disease, infections, cancer, allogeneic and xenogeneic transplantation, and inflammation. Complement analyses have been performed on these conditions in both prospective and retrospective studies and significant differences have been found between groups of patients, but in many diseases, it has not been possible to make predictions for individual patients because of the lack of sensitivity and specificity of many of the assays used. The basic indications for serological diagnostic complement analysis today may be divided into three major categories: (a) acquired and inherited complement deficiencies; (b) disorders with complement activation; (c) inherited and acquired C1INH deficiencies. Here, we summarize indications, techniques, and interpretations for basic complement analyses and present an algorithm, which we follow in our routine laboratory.

Indexed as

Complement ActivationComplement C1 Inhibitor ProteinComplement System ProteinsHumansProspective StudiesRetrospective StudiesSerologic TestsComplement C1 Inhibitor ProteinComplement System Proteins

Identifiers

PMID23227092
PMCPMC3511841

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.