Lupus Increases The Incidence Ratio Of Hematologic Malignancies: A Meta-Analysis Of Cohort Studies
Notice bibliographique
Résumé
Abstract Introduction Hematologic malignancies are a heterogeneous group of diseases characterized by the uncontrolled growth of malignant hematopoietic cells. Given this heterogeneity, it is likely that the etiology for these conditions is also diverse and distinct between them. Systemic lupus erythematosus (SLE) is a chronic inflammatory condition that has been associated with an increased risk of developing non-Hodgkin lymphoma (NHL). However, the role of SLE in the etiology of other hematologic malignancies is unclear. The primary objective of our study is to evaluate, using a meta-analysis of observational studies, the association between SLE and NHL, Hodgkin lymphoma (HL), leukemia and myeloma. A secondary objective was to evaluate potential differences according to geographical region. Methods At least two of the investigators performed a MEDLINE search from January 1, 1995 through June 30, 2013 looking for cohort studies reporting on the association between SLE and the risk of developing hematologic malignancies. The search keyword was “lupus AND (leukemia OR lymphoma OR myeloma)”. Data were gathered independently by at least two of the investigators and disagreements were addressed by consensus. The outcome of interest was the standardized incidence ratio (SIR) and 95% confidence interval (CI) of hematological malignancies in adult patients with SLE in comparison with the general population. The outcome was calculated using the random-effects model (REM), which adjusts for inter and intra-study heterogeneity. Additionally, heterogeneity was assessed using the I2 index. I2values of 25%, 50% and 75% indicated low, moderate and severe heterogeneity, respectively. The quality of the studies was assessed separately by at least two of the investigators using the Newcastle-Ottawa scale (NOS). Studies with NOS 1-3, 4-6 and 7-9 were considered of low, intermediate and high quality, respectively. Publication bias was assessed by the trim-and-fill analysis, which identifies and adjusts for imputed unpublished studies. Subset analyses were performed by geographical region (i.e. Asia, Europe and North America). All calculations and graphics obtained using Comprehensive Meta-Analysis version 2.2.050 (Biostat, New Jersey, USA). Results Our initial search found 976 studies, from which 15 studies were included in our analysis. Eight studies (53%) were from Europe, 4 (27%) from North America, 2 (13%) from Asia and 1 (7%) was a multi-national efforts. Cohort studies identified 488 cases of hematologic malignancies among 70,375 individuals (87% women, 13% men) with a diagnosis of SLE. Based on the NOS scale, 12 studies (80%) were considered of high and 3 (20%) of intermediate quality. SLE was associated with increased SIR of NHL (SIR 5.3, 95% CI 3.6-7.9, p<0.001) with high heterogeneity (I2=91%). The increased SIR of NHL was seen in all geographical regions: Europe SIR 6.4 (95% CI 2.9-13.8; p<0.001), North America SIR 4.6 (95% CI 2.6-8.3; p<0.001), Asia SIR 9.2 (95% CI 4.7-18.2; p<0.001). SLE was associated with a high SIR of HL (SIR 3.9, 95% CI 2.4-6.3; p<0.001) with moderate heterogeneity (I2=33%). The SIR of HL was increased in European (SIR 5.5, 95% CI 2.6-11.7; p<0.001) and North American studies (SIR 4.7, 95% CI 1.3-17.1; p=0.017). SLE was also associated with increased SIR of leukemia (SIR 2.3, 95% CI 1.8-2.9, p<0.001) with moderate heterogeneity (I2=49%). The SIR of leukemia was increased in all regions: Europe SIR 3.0 (1.1-7.6; p=0.026), North America SIR 2.2 (1.7-2.8; p<0.001), Asia SIR 2.6 (2.5-2.8; p<0.001). A weaker association was found between SLE and myeloma (SIR 1.5, 95% CI 1.0-2.0, p=0.03) without heterogeneity (I2=0%). Subset analysis by geographical region could not be undertaken in patients with myeloma. Publication bias would have not affected any of our results. Conclusions Compared with the general population, individuals with SLE have an increased SIR of hematologic malignancies. Not surprisingly, SLE was associated with a 5-fold increase in SIRs for NHL. However, SLE was also associated with increased SIR of HL (4-fold), leukemia (2-fold) and, at a lower degree, myeloma (1.5-fold). Our subset analysis showed that SLE increases the SIR of NHL, HL and leukemia regardless of the geographical region. Further studies are needed to elucidate the pathogenetic role of SLE in hematologic malignancies. Disclosures: No relevant conflicts of interest to declare.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,035 | 0,064 |
| Méta-épidémiologie (sens strict) | 0,003 | 0,002 |
| Méta-épidémiologie (sens large) | 0,011 | 0,063 |
| Bibliométrie | 0,007 | 0,009 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,004 | 0,002 |
| Science ouverte | 0,003 | 0,002 |
| Intégrité de la recherche | 0,003 | 0,003 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,004 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».