The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
Why heart disease mortality is low in France: the time lag explanation Commentary: Alcohol and other dietary factors may be important Commentary: Intrauterine nutrition may be important Commentary: Heterogeneity of populations should be taken into account Authors' response
Open accessAbstract
Immune system activation can be elicited in viral infections, active immunization, or cancer immunotherapy, leading to the final common phenotype of increased glycolytic use by immune cells and subsequent detection by 18F-FDG PET. Because 18F-FDG is also used in baseline staging PET/CT scans and in tumor response assessment, physicians are faced with a unique challenge when evaluating tumor response in patients receiving cancer immunotherapy. The burgeoning field of cancer immunotherapy and the paucity of PET probes that can reliably differentiate activated immune cells from metabolically active cancer cells underscore the pressing need to identify and develop additional molecular imaging strategies. In an effort to address this concern, investigators have taken several molecular imaging approaches for cancer immunotherapy. Direct ex vivo labeling of T lymphocytes with radioactive probes before reinfusion represents the earliest attempts but has proven to be clinically limited because of significant PET probe dilution from proliferation of activated immune cells. Another approach is the indirect in vivo labeling of immune cells via PET reporter gene expression and involves the ex vivo genetic engineering of T lymphocytes with a reporter gene, reinfusion into the host, and the subsequent use of a PET probe specific for the reporter gene. The most recent approach involves the direct in vivo labeling of immune cells by targeting endogenous immune cell biochemical pathways that are differentially expressed during activation. In conclusion, these novel PET-based imaging approaches have demonstrated promise toward the goal of in vivo, noninvasive immune monitoring strategies for evaluating cancer immunotherapy.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Fetal origins of coronary heart disease
Barker, D. J. P. (1995) · BMJ · doi:10.1136/bmj.311.6998.171 · Cited by 3,570
Self-citationSocioeconomic factors and cardiovascular disease: a review of the literature.
Kaplan, G. A., & Keil, J. E. (1993) · Circulation · doi:10.1161/01.cir.88.4.1973 · Cited by 1,845
Dietary Fiber, Glycemic Load, and Risk of Non—insulin-dependent Diabetes Mellitus in Women
Salmerón, J. (1997) · JAMA: The Journal of the American Medical Association · doi:10.1001/jama.1997.03540300040031 · Cited by 1,804
Alcohol consumption and mortality among middle-aged and elderly U.S. adults
Thun, M. J., Peto, R., Lopez, A. D., Monaco, J. H., Henley, S. J., Heath, C. W., & Doll, R. (1997) · New England Journal of Medicine · doi:10.1056/nejm199712113372401 · Cited by 1,313
Prospective study of alcohol consumption and risk of coronary disease in men.
Rimm, E. B., Giovannucci, E. L., Willett, W. C., Colditz, G. A., Ascherio, A., Rosner, B., & Stampfer, M. J. (1991) · The Lancet · doi:10.1016/0140-6736(91)90542-w · Cited by 1,239
Self-citationRimm, E. B., Klatsky, A., Grobbee, D., & Stampfer, M. J. (1996) · BMJ · doi:10.1136/bmj.312.7033.731 · Cited by 992
Self-citationFrequent nut consumption and risk of coronary heart disease in women: prospective cohort study
Hu, F. B., Stampfer, M. J., Manson, J. E., Rimm, E. B., Colditz, G. A., Rosner, B. A., Speizer, F. E., Hennekens, C. H., & Willett, W. C. (1998) · BMJ · doi:10.1136/bmj.317.7169.1341 · Cited by 597
Self-citation
Cited by
Life course epidemiology: Figure 1
Kuh, D., Ben-Shlomo, Y., Lynch, J., Hallqvist, J., & Power, C. (2003) · Journal of Epidemiology and Community Health · doi:10.1136/jech.57.10.778 · Cited by 2,019
Yusuf, S., Reddy, S., Ôunpuu, S., & Anand, S. (2001) · Circulation · doi:10.1161/hc4701.099488 · Cited by 1,141
Policy relevant determinants of health: an international perspective
Starfield, B., & Shi, L. (2002) · Health Policy · doi:10.1016/s0168-8510(01)00208-1 · Cited by 567
Is US Health Really the Best in the World?
Starfield, B. (2000) · JAMA · doi:10.1001/jama.284.4.483 · Cited by 531
Chemistry and Biology of Resveratrol-Derived Natural Products
Keylor, M. H., Matsuura, B. S., & Stephenson, C. R. J. (2015) · Chemical Reviews · doi:10.1021/cr500689b · Cited by 366
Metadata
- Authors
- Law, M., Wald, N., Stampfer, M., Rimm, E., Barker, D. J. P., Mackenbach, J. P., & Kunst, A. E.
- Venue
- BMJ
- Publisher
- BMJ
- Published
- 1999-05-29
- Volume
- 318
- Issue
- 7196
- Pages
- 1471-1480
- ISSN
- 0007-1447 (ISSN-L)
- 0959-8138
- 1468-5833
- OpenAlex
- W1940521720
- Cited by
- 177
- References
- 7
- Type
- journal article
- Language
- en
- Open access
- bronze
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Why heart disease mortality is low in France: the time lag explanation Commentary: Alcohol and other dietary factors may be important Commentary: Intrauterine nutrition may be important Commentary: Heterogeneity of populations should be taken into account Authors' response. https://app.cochat.ai/papers/10.1136/bmj.318.7196.1471
- The paper
- Law, M., Wald, N., Stampfer, M., Rimm, E., Barker, D. J. P., Mackenbach, J. P., & Kunst, A. E. (1999). Why heart disease mortality is low in France: the time lag explanation Commentary: Alcohol and other dietary factors may be important Commentary: Intrauterine nutrition may be important Commentary: Heterogeneity of populations should be taken into account Authors' response. BMJ. https://doi.org/10.1136/bmj.318.7196.1471
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.