Notice bibliographique
Résumé
Despite the fact that most hepatologists accept the need for screening for hepatocellular carcinoma (HCC), it remains a controversial issue.1, 2 As with cancer screening for so many other tumors, proving that HCC screening is effective has been difficult. Ideally, a cancer screening program, to be effective, should result in a decrease in disease-specific mortality (i.e., fewer people should die of cancer). This can only be demonstrated with certainty in a prospective, randomized, controlled trial (RCT) in which one group is screened and the other not screened, with mortality as an outcome. For HCC, there are two such trials, both conducted in China.3, 4 The first failed to show a mortality difference. However, this study used only alpha-fetoprotein (AFP) as the screening test. Subsequent knowledge has clearly shown that AFP is an inadequate screening test. Furthermore, the study report did not indicate what treatments were applied to patients in whom HCC was detected; but in the era when this study was conducted, China was a poor country, with the costs of surgery being borne by the patient. This likely led to treatment not being applied to all those who might have benefited. The second study did show a substantial reduction in mortality, but this study has been criticized on the basis that the analysis was statistically incorrect. This criticism does decrease confidence in the results of this study, but does not say that screening is ineffective. There is considerable evidence, albeit of lower quality, that supports that screening is likely to reduce HCC mortality. This uncertainty has implications for public policy. Payers want certainty. To date, with the exception of Japan and South Korea, no governmental agency has recommended HCC screening. Should payers wait for randomized, controlled data, the only data that bring certainty, before recommending and paying for HCC screening? For many reasons, although desirable, initiation of an RCT of HCC screening is unlikely, and if initiated, completion is also unlikely. Because there is at least suggestive evidence of a substantial benefit to HCC screening, payers and government agencies have to consider the issue and make their decisions based on available evidence. What evidence, short of RCT data, might be sufficient to convince payers and government agencies that HCC screening should be recommended? Case-control studies showing earlier diagnosis (stage migration) are not proof of efficacy nor are retrospective studies, many of which are subject to lead-time bias. Prospective, nonrandomized studies with mortality as an endpoint are better than retrospective studies, but are all subject to bias. This bias can be, to some extent, mitigated by using propensity score matching (i.e., matching study subject and control on criteria that are important to the risk of developing HCC). This principle has been well demonstrated in a study of the efficacy of entecavir in reducing HCC incidence.5 In this issue of Hepatology, a group from Taiwan report on a study in which a risk score is applied to identify a cohort of subjects who are deemed, by virtue of having an elevated risk score, to be at higher risk of HCC.6 HCC screening with a one-time ultrasound (US) was offered. The comparison groups were a simultaneous cohort being the other inhabitants of the same counties who were not invited to participate, as well as a historical control group. The study showed that those who underwent screening, albeit one time, had a lower HCC mortality than those who did not, despite the fact that the screened group was at higher risk for HCC and therefore at higher risk of HCC-related death. Several aspects of this study merit comment. The Taiwan study selected patients on the basis of two risk scores: one for patients with viral hepatitis and one for those free of viral hepatitis. The viral hepatitis risk score included AFP, alanine aminotransferase, and platelet count <150 ×109/mL, whereas the other score included the presence or absence of diabetes instead of viral markers. Both scores included terms for age and gender. However, above a cutoff that led to the invitation to screen, no further stratification was done. The analysis of mortality compared the “invited group” apparently whether or not they accepted the invitation to undergo screening with the general population and with the historical controls who also did not undergo screening. Approximately 21% refused screening. This is analogous to an intention-to-treat analysis and would tend to bias the results against screening being effective. Although the study results are interesting, they probably do not contribute much to the debate about the efficacy of HCC screening. First, subjects underwent only a single US examination, rather than sequential imaging over time, which would be current practice. Second, the use of the risk score is problematic because it has not been externally validated. However, the risk score seemed to have served its purpose in that incidence of HCC and prevalence of cirrhosis was higher in those with high risk scores and correlated with the risk score. Finally, the follow-up was short, only 15 months. A longer follow-up is probably required to confirm reduction in morality, because patients with screen-detected HCC would be expected to live longer than 15 months whether or not screening has any effect on mortality, simply because of earlier detection (lead-time bias). Inclusion of transaminases in the risk score would identify a population with liver disease without specifying that cirrhosis is present. Inclusion of a low platelet count in the score will enrich the population for cirrhosis (i.e., for a population at risk for HCC). As such, the risk score might be useful if it were to be applied to a general population to identify silent cirrhosis not necessarily for screening, but for more liver-directed medical care. However, to do so, we need to know how sensitive the score is—in other words, what proportion of all at-risk subjects does the score not identify. We are not given this information. There are better validated HCC risk scores, including one from Taiwan. The REACH B score was derived from the REVEAL study and validated externally in China, Hong Kong, and Korea.7, 8 There are two other risk scores for hepatitis B (Chinese University9 and the GAG-HCC score10), both derived in Asian cohorts, but not externally validated. There are no equivalent scores for patients with hepatitis B who might be infected with genotypes other than B and C. There are no equivalent scores for patients who do not have viral hepatitis. A validated risk score can be used to assess an individual patient's HCC risk and therefore to determine whether HCC screening for that individual is appropriate or not. However, the risk score used in this study cannot be used in this manner. This is because, as described in the article, it does not indicate the incidence of HCC in the population identified by the risk score. This information is required to determine whether screening was cost-efficient and what cut-off score would generate a risk sufficient to warrant screening. The risk score includes a low platelet count and so probably identifies some patients with established cirrhosis and some degree of portal hypertension—who would be candidates for screening even without a risk score. Thus, overall, although this article is interesting, the results from this study are not generalizable to most populations that might be candidates for HCC screening. Although it shows a benefit to HCC screening, it uses a target population and a once-off methodology that are unlike current guidelines. It also raises another point, namely, that those who had a “low risk” and were not invited to undergo screening may still have had a risk sufficiently high to warrant screening using other criteria to guide the decision. It is also unfortunate that the causes of mortality were not given. We cannot assume that all deaths were the result of HCC. Given the age of the population, it is likely that there were competing causes of death. The question of whether HCC screening will decrease HCC mortality therefore remains uncertain, and this study does not resolve the question of whether HCC screening is effective or not. Morris Sherman, M.B., B.Ch., Ph.D., F.R.C.P(C). University of Toronto Toronto General Hospital Toronto, Ontario, Canada
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 distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 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 tête enseignante, 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 ».